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<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Historic shipwreck identified in Lake Michigan
MUSKEGON – The bottom of Lake Michigan is literally a graveyard of shipwrecks. Local maritime historians say 1,200 of the 2,000 sunken vessels in Lake Michigan no longer exist because they hit shore and broke apart. Experts add that about 360 wrecks have been found in the lake's deeper water, but there are still many wrecks out there that remain undiscovered. A group of explorers recently found a historic steamship off the coast of Muskegon more than a century after it sank. Members of the Michigan Shipwreck Research Association say this is one of the deepest wrecks ever discovered in Lake Michigan. The story begins around midnight on Feb. 9, 1899. Lake Michigan was ice-caked and the 214-foot John V. Moran bucked the ice floes on its run from Milwaukee to Muskegon to deliver a cargo of barreled flour and package goods. The ship was only 11 years old and had an iron-reinforced hull for winter transit, but the conditions on this particular day were too much for the steamer. Ice struck a hole in the hull and water began pouring in. Capt. John McLeod dumped as much of the cargo as he could to lighten the load and try to keep the ship afloat, but it began slipping underneath the ice. """<|im_end|>
<|im_start|>assistant
| Historic shipwreck identified in Lake Michigan
MUSKEGON – The bottom of Lake Michigan is literally a graveyard of shipwrecks. Local maritime historians say 1,200 of the 2,000 sunken vessels in Lake Michigan no longer exist because they hit shore and broke apart. Experts add that about 360 wrecks have been found in the lake's deeper water, but there are still many wrecks out there that remain undiscovered. A group of explorers recently found a historic steamship off the coast of Muskegon more than a century after it sank. Members of the Michigan Shipwreck Research Association say this is one of the deepest wrecks ever discovered in Lake Michigan. The story begins around midnight on Feb. 9, 1899. Lake Michigan was ice-caked and the 214-foot John V. Moran bucked the ice floes on its run from Milwaukee to Muskegon to deliver a cargo of barreled flour and package goods. The ship was only 11 years old and had an iron-reinforced hull for winter transit, but the conditions on this particular day were too much for the steamer. Ice struck a hole in the hull and water began pouring in. Capt. John McLeod dumped as much of the cargo as he could to lighten the load and try to keep the ship afloat, but it began slipping underneath the ice. | [
{
"from": "human",
"value": "Text: Historic shipwreck identified in Lake Michigan\n\nMUSKEGON – The bottom of Lake Michigan is literally a graveyard of shipwrecks. Local maritime historians say 1,200 of the 2,000 sunken vessels in Lake Michigan no longer exist because they hit shore and broke apart. Experts add that about 360 wrecks have been found in the lake's deeper water, but there are still many wrecks out there that remain undiscovered. A group of explorers recently found a historic steamship off the coast of Muskegon more than a century after it sank. Members of the Michigan Shipwreck Research Association say this is one of the deepest wrecks ever discovered in Lake Michigan. The story begins around midnight on Feb. 9, 1899. Lake Michigan was ice-caked and the 214-foot John V. Moran bucked the ice floes on its run from Milwaukee to Muskegon to deliver a cargo of barreled flour and package goods. The ship was only 11 years old and had an iron-reinforced hull for winter transit, but the conditions on this particular day were too much for the steamer. Ice struck a hole in the hull and water began pouring in. Capt. John McLeod dumped as much of the cargo as he could to lighten the load and try to keep the ship afloat, but it began slipping underneath the ice."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes law in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes organization in the text?"
},
{
"from": "gpt",
"value": "[\"Michigan Shipwreck Research Association\"]"
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[\"Capt. John McLeod\"]"
},
{
"from": "human",
"value": "What describes object in the text?"
},
{
"from": "gpt",
"value": "[\"shipwrecks\", \"vessels\", \"wrecks\", \"steamship\", \"John V. Moran\", \"barreled flour\", \"package goods\", \"iron-reinforced hull\", \"winter transit\", \"cargo\", \"ice\", \"hole\", \"water\"]"
},
{
"from": "human",
"value": "What describes function in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes compound in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes location in the text?"
},
{
"from": "gpt",
"value": "[\"Lake Michigan\", \"shore\", \"Muskegon\", \"Milwaukee\"]"
},
{
"from": "human",
"value": "What describes Chemical in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes profession in the text?"
},
{
"from": "gpt",
"value": "[\"maritime historians\", \"explorers\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Kenworthy has several points of disagreement with the Vermont senator, but both basically argue that the United States should adopt polices similar to those of Scandinavian countries in which the government provides more resources for parents and the economically insecure. In his book "Social Democratic America," Kenworthy calls for a raft of new government spending -- family and sick leave, paid for by the state; a pre-kindergarten program subsidized for all families; and more. As Kenworthy explains it, social democracy is really just about setting up governmental insurance to cover Americans in the event of unexpected expenses and losses of income. These programs would guarantee Americans a certain level of economic stability, even if their circumstances change suddenly, and they would help many working-class families handle typical financial headaches. AD
AD
Americans already have disability and unemployment insurance through the federal government, for example. They hold old-age insurance in the form of Social Security and Medicare to cover the cost of living and health care for people who live longer. President Obama's health reform helps many Americans pay for general medical insurance. Likewise, paid sick leave would insure against loss of income due to short-term illness. Universal child care and more generous college-tuition grants would insure against some of the costs of parenting. """<|im_end|>
<|im_start|>assistant
| Kenworthy has several points of disagreement with the Vermont senator, but both basically argue that the United States should adopt polices similar to those of Scandinavian countries in which the government provides more resources for parents and the economically insecure. In his book "Social Democratic America," Kenworthy calls for a raft of new government spending -- family and sick leave, paid for by the state; a pre-kindergarten program subsidized for all families; and more. As Kenworthy explains it, social democracy is really just about setting up governmental insurance to cover Americans in the event of unexpected expenses and losses of income. These programs would guarantee Americans a certain level of economic stability, even if their circumstances change suddenly, and they would help many working-class families handle typical financial headaches. AD
AD
Americans already have disability and unemployment insurance through the federal government, for example. They hold old-age insurance in the form of Social Security and Medicare to cover the cost of living and health care for people who live longer. President Obama's health reform helps many Americans pay for general medical insurance. Likewise, paid sick leave would insure against loss of income due to short-term illness. Universal child care and more generous college-tuition grants would insure against some of the costs of parenting. | [
{
"from": "human",
"value": "Text: Kenworthy has several points of disagreement with the Vermont senator, but both basically argue that the United States should adopt polices similar to those of Scandinavian countries in which the government provides more resources for parents and the economically insecure. In his book \"Social Democratic America,\" Kenworthy calls for a raft of new government spending -- family and sick leave, paid for by the state; a pre-kindergarten program subsidized for all families; and more. As Kenworthy explains it, social democracy is really just about setting up governmental insurance to cover Americans in the event of unexpected expenses and losses of income. These programs would guarantee Americans a certain level of economic stability, even if their circumstances change suddenly, and they would help many working-class families handle typical financial headaches. AD\n\nAD\n\nAmericans already have disability and unemployment insurance through the federal government, for example. They hold old-age insurance in the form of Social Security and Medicare to cover the cost of living and health care for people who live longer. President Obama's health reform helps many Americans pay for general medical insurance. Likewise, paid sick leave would insure against loss of income due to short-term illness. Universal child care and more generous college-tuition grants would insure against some of the costs of parenting."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes Organization in the text?"
},
{
"from": "gpt",
"value": "[\"government\", \"Social Security\", \"Medicare\"]"
},
{
"from": "human",
"value": "What describes Nationality in the text?"
},
{
"from": "gpt",
"value": "[\"Americans\"]"
},
{
"from": "human",
"value": "What describes dish in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Gender in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Policy in the text?"
},
{
"from": "gpt",
"value": "[\"health reform\", \"paid sick leave\", \"Universal child care\", \"college-tuition grants\"]"
},
{
"from": "human",
"value": "What describes Title in the text?"
},
{
"from": "gpt",
"value": "[\"Social Democratic America\"]"
},
{
"from": "human",
"value": "What describes Location in the text?"
},
{
"from": "gpt",
"value": "[\"Vermont\", \"United States\", \"Scandinavian countries\"]"
},
{
"from": "human",
"value": "What describes Activity in the text?"
},
{
"from": "gpt",
"value": "[\"parenting\"]"
},
{
"from": "human",
"value": "What describes Person in the text?"
},
{
"from": "gpt",
"value": "[\"Kenworthy\", \"President Obama\"]"
},
{
"from": "human",
"value": "What describes animal in the text?"
},
{
"from": "gpt",
"value": "[]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" The growth in use of credit and debit cards has been met with a rise in fraud and theft. To improve the customer experience, merchants often relax security standards during transactions. As an example, a merchant may require only a credit card number, expiration date, and security code, but not evidence of possession of the actual credit card before allowing a transaction. As a result, a user may possess the physical credit card even though information associated with the credit card has been stolen. """<|im_end|>
<|im_start|>assistant
| The growth in use of credit and debit cards has been met with a rise in fraud and theft. To improve the customer experience, merchants often relax security standards during transactions. As an example, a merchant may require only a credit card number, expiration date, and security code, but not evidence of possession of the actual credit card before allowing a transaction. As a result, a user may possess the physical credit card even though information associated with the credit card has been stolen. | [
{
"from": "human",
"value": "Text: The growth in use of credit and debit cards has been met with a rise in fraud and theft. To improve the customer experience, merchants often relax security standards during transactions. As an example, a merchant may require only a credit card number, expiration date, and security code, but not evidence of possession of the actual credit card before allowing a transaction. As a result, a user may possess the physical credit card even though information associated with the credit card has been stolen."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes product in the text?"
},
{
"from": "gpt",
"value": "[\"debit cards\", \"actual credit card\"]"
},
{
"from": "human",
"value": "What describes profession in the text?"
},
{
"from": "gpt",
"value": "[\"merchants\"]"
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[\"user\"]"
},
{
"from": "human",
"value": "What describes crime in the text?"
},
{
"from": "gpt",
"value": "[\"fraud\", \"theft\"]"
},
{
"from": "human",
"value": "What describes concept in the text?"
},
{
"from": "gpt",
"value": "[\"security standards\", \"credit card number\", \"expiration date\", \"security code\", \"possession\", \"information\"]"
},
{
"from": "human",
"value": "What describes event in the text?"
},
{
"from": "gpt",
"value": "[\"transactions\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" No Pat Cummins for Australia against India for T20s
Australian team after suffering a shameful defeat in the second one day will no lack one of their top fast bowlers in the T20 series as well as Pat Cummins will skip the upcoming three-match Twenty20 International (T20I) series against India. Cummins will be leaving this series and return home to prepare for the Ashes later this year, Cricket Australia confirmed on Friday. “Key fast bowler Pat Cummins will skip the T20 leg of Australia’s Qantas Tour of India in order to rest ahead of the Magellan Ashes this summer,” Cricket Australia said in a statement. Cricket Australia also clarified the 24-year-old is not injured and will look to freshen up ahead of the Sheffield Shield season scheduled from October 26 to March 26 2018. “The paceman is not carrying an injury but selectors have decided to send him home after the fifth ODI in Nagpur on Sunday week in order to freshen up ahead of the start of the Sheffield Shield season,” Cricket Australia said. Australia are slated to play three T20Is from October 7 to 13 in Ranchi, Guwahati and Hyderabad. """<|im_end|>
<|im_start|>assistant
| No Pat Cummins for Australia against India for T20s
Australian team after suffering a shameful defeat in the second one day will no lack one of their top fast bowlers in the T20 series as well as Pat Cummins will skip the upcoming three-match Twenty20 International (T20I) series against India. Cummins will be leaving this series and return home to prepare for the Ashes later this year, Cricket Australia confirmed on Friday. “Key fast bowler Pat Cummins will skip the T20 leg of Australia’s Qantas Tour of India in order to rest ahead of the Magellan Ashes this summer,” Cricket Australia said in a statement. Cricket Australia also clarified the 24-year-old is not injured and will look to freshen up ahead of the Sheffield Shield season scheduled from October 26 to March 26 2018. “The paceman is not carrying an injury but selectors have decided to send him home after the fifth ODI in Nagpur on Sunday week in order to freshen up ahead of the start of the Sheffield Shield season,” Cricket Australia said. Australia are slated to play three T20Is from October 7 to 13 in Ranchi, Guwahati and Hyderabad. | [
{
"from": "human",
"value": "Text: No Pat Cummins for Australia against India for T20s\n\nAustralian team after suffering a shameful defeat in the second one day will no lack one of their top fast bowlers in the T20 series as well as Pat Cummins will skip the upcoming three-match Twenty20 International (T20I) series against India. Cummins will be leaving this series and return home to prepare for the Ashes later this year, Cricket Australia confirmed on Friday. “Key fast bowler Pat Cummins will skip the T20 leg of Australia’s Qantas Tour of India in order to rest ahead of the Magellan Ashes this summer,” Cricket Australia said in a statement. Cricket Australia also clarified the 24-year-old is not injured and will look to freshen up ahead of the Sheffield Shield season scheduled from October 26 to March 26 2018. “The paceman is not carrying an injury but selectors have decided to send him home after the fifth ODI in Nagpur on Sunday week in order to freshen up ahead of the start of the Sheffield Shield season,” Cricket Australia said. Australia are slated to play three T20Is from October 7 to 13 in Ranchi, Guwahati and Hyderabad."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes organization in the text?"
},
{
"from": "gpt",
"value": "[\"Cricket Australia\"]"
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[\"Pat Cummins\"]"
},
{
"from": "human",
"value": "What describes event in the text?"
},
{
"from": "gpt",
"value": "[\"T20s\", \"Twenty20 International\", \"Ashes\", \"Sheffield Shield\"]"
},
{
"from": "human",
"value": "What describes location in the text?"
},
{
"from": "gpt",
"value": "[\"Australia\", \"India\", \"Nagpur\", \"Ranchi\", \"Guwahati\", \"Hyderabad\"]"
},
{
"from": "human",
"value": "What describes Social Media Platform in the text?"
},
{
"from": "gpt",
"value": "[]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" In case of problems accessing the NYISO website for submitting schedules and
such, try this alternative site for access... I have found this to be
available when the main site is down... I would try the main site first
though...
https://mtdev.nyiso.com
-narsimha """<|im_end|>
<|im_start|>assistant
| In case of problems accessing the NYISO website for submitting schedules and
such, try this alternative site for access... I have found this to be
available when the main site is down... I would try the main site first
though...
https://mtdev.nyiso.com
-narsimha | [
{
"from": "human",
"value": "Text: In case of problems accessing the NYISO website for submitting schedules and \nsuch, try this alternative site for access... I have found this to be \navailable when the main site is down... I would try the main site first \nthough...\nhttps://mtdev.nyiso.com\n-narsimha"
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes website in the text?"
},
{
"from": "gpt",
"value": "[\"NYISO website\", \"alternative site\", \"main site\"]"
},
{
"from": "human",
"value": "What describes chemical in the text?"
},
{
"from": "gpt",
"value": "[]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Q:
Qt Stylesheet mystery
My Desktop Qt app has a large stylesheet applied. It's applied for the QApplication derived class I am using:
this->ApplyStyleSheet(":/qss/default.qss");
It works well for all QWidget objects I define and use. (using *.ui files). My problem begins when i promote one of my QWidgets in the *.ui file I'm using to one of my own QWidget derived classes. When my widget was QWidget, the following worked and changed the background image:
QWidget#myWidget {
background: transparent;
background-image: url(:/images/bg_img.png);
background-repeat: repeat-x;
}
When I promoted the element to my custom QWidget derived class and changed to:
QMyDerivedClass#myWidget {
background: transparent;
background-image: url(:/images/bg_img.png);
background-repeat: repeat-x;
}
I no longer see my background image. Obviously I am missing something. What is it... I hope one of you knows. A:
My bad. Posting this so that people with similar problem can find a solution:
I did not add "paintEvent" to my custom class. (which in this case draws nothing but it enables the stylesheet adherence). """<|im_end|>
<|im_start|>assistant
| Q:
Qt Stylesheet mystery
My Desktop Qt app has a large stylesheet applied. It's applied for the QApplication derived class I am using:
this->ApplyStyleSheet(":/qss/default.qss");
It works well for all QWidget objects I define and use. (using *.ui files). My problem begins when i promote one of my QWidgets in the *.ui file I'm using to one of my own QWidget derived classes. When my widget was QWidget, the following worked and changed the background image:
QWidget#myWidget {
background: transparent;
background-image: url(:/images/bg_img.png);
background-repeat: repeat-x;
}
When I promoted the element to my custom QWidget derived class and changed to:
QMyDerivedClass#myWidget {
background: transparent;
background-image: url(:/images/bg_img.png);
background-repeat: repeat-x;
}
I no longer see my background image. Obviously I am missing something. What is it... I hope one of you knows. A:
My bad. Posting this so that people with similar problem can find a solution:
I did not add "paintEvent" to my custom class. (which in this case draws nothing but it enables the stylesheet adherence). | [
{
"from": "human",
"value": "Text: Q:\n\nQt Stylesheet mystery\n\nMy Desktop Qt app has a large stylesheet applied. It's applied for the QApplication derived class I am using:\nthis->ApplyStyleSheet(\":/qss/default.qss\");\n\nIt works well for all QWidget objects I define and use. (using *.ui files). My problem begins when i promote one of my QWidgets in the *.ui file I'm using to one of my own QWidget derived classes. When my widget was QWidget, the following worked and changed the background image:\nQWidget#myWidget {\n background: transparent;\n background-image: url(:/images/bg_img.png);\n background-repeat: repeat-x;\n}\n\nWhen I promoted the element to my custom QWidget derived class and changed to:\nQMyDerivedClass#myWidget {\n background: transparent;\n background-image: url(:/images/bg_img.png);\n background-repeat: repeat-x;\n}\n\nI no longer see my background image. Obviously I am missing something. What is it... I hope one of you knows. A:\n\nMy bad. Posting this so that people with similar problem can find a solution:\nI did not add \"paintEvent\" to my custom class. (which in this case draws nothing but it enables the stylesheet adherence)."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes locus in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes software in the text?"
},
{
"from": "gpt",
"value": "[\"Qt\", \"Desktop Qt\", \"QApplication\", \"QWidget\", \"QWidgets\", \"QMyDerivedClass\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Bird Care
Our bird care area stocks a wide range of bird seeds and accessories to make sure your garden attracts feathered friends all year round. From general bird feeds to more specialist varieties, meal worms and suets we have a varied selection. We also stock bird feeders from seeds through to sunflower hearts as well as bird tables and bird baths. Providing birds with natural food, supplementary food and water will ensure your garden will be visited all year round by a host of different birds. It is important to feed your garden birds responsibly and safely. By following a few simple guidelines, you can play a valuable role in helping your local birds overcome periods of natural food shortage, survive periods of severe winter weather and come into good breeding condition in the spring. Supplementary feeding can’t provide all the natural proteins and vitamins that adult and young birds need, so it’s important to create and manage your garden to provide a source of natural foods as well, through well-managed lawns, shrub and flowerbeds. For more information on how to attract birds to your garden, what food to provide them with and other interesting facts you may wish to visit the RSPB website here: RSPB
Please note that due to the Sunday Trading Laws, we are not open on Easter Sunday. """<|im_end|>
<|im_start|>assistant
| Bird Care
Our bird care area stocks a wide range of bird seeds and accessories to make sure your garden attracts feathered friends all year round. From general bird feeds to more specialist varieties, meal worms and suets we have a varied selection. We also stock bird feeders from seeds through to sunflower hearts as well as bird tables and bird baths. Providing birds with natural food, supplementary food and water will ensure your garden will be visited all year round by a host of different birds. It is important to feed your garden birds responsibly and safely. By following a few simple guidelines, you can play a valuable role in helping your local birds overcome periods of natural food shortage, survive periods of severe winter weather and come into good breeding condition in the spring. Supplementary feeding can’t provide all the natural proteins and vitamins that adult and young birds need, so it’s important to create and manage your garden to provide a source of natural foods as well, through well-managed lawns, shrub and flowerbeds. For more information on how to attract birds to your garden, what food to provide them with and other interesting facts you may wish to visit the RSPB website here: RSPB
Please note that due to the Sunday Trading Laws, we are not open on Easter Sunday. | [
{
"from": "human",
"value": "Text: Bird Care\n\nOur bird care area stocks a wide range of bird seeds and accessories to make sure your garden attracts feathered friends all year round. From general bird feeds to more specialist varieties, meal worms and suets we have a varied selection. We also stock bird feeders from seeds through to sunflower hearts as well as bird tables and bird baths. Providing birds with natural food, supplementary food and water will ensure your garden will be visited all year round by a host of different birds. It is important to feed your garden birds responsibly and safely. By following a few simple guidelines, you can play a valuable role in helping your local birds overcome periods of natural food shortage, survive periods of severe winter weather and come into good breeding condition in the spring. Supplementary feeding can’t provide all the natural proteins and vitamins that adult and young birds need, so it’s important to create and manage your garden to provide a source of natural foods as well, through well-managed lawns, shrub and flowerbeds. For more information on how to attract birds to your garden, what food to provide them with and other interesting facts you may wish to visit the RSPB website here: RSPB\n\nPlease note that due to the Sunday Trading Laws, we are not open on Easter Sunday."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes event in the text?"
},
{
"from": "gpt",
"value": "[\"periods of natural food shortage\", \"severe winter weather\", \"good breeding condition\", \"Sunday Trading Laws\"]"
},
{
"from": "human",
"value": "What describes animal in the text?"
},
{
"from": "gpt",
"value": "[\"feathered friends\", \"birds\", \"local birds\", \"young birds\"]"
},
{
"from": "human",
"value": "What describes location in the text?"
},
{
"from": "gpt",
"value": "[\"bird care area\", \"garden\"]"
},
{
"from": "human",
"value": "What describes title in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes organization in the text?"
},
{
"from": "gpt",
"value": "[\"RSPB website\"]"
},
{
"from": "human",
"value": "What describes Continent in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes personality trait in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Money in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Field of the Invention in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes product in the text?"
},
{
"from": "gpt",
"value": "[\"bird seeds\", \"accessories\", \"bird feeds\", \"specialist varieties\", \"meal worms\", \"suets\", \"bird feeders\", \"seeds\", \"sunflower hearts\", \"bird tables\", \"bird baths\", \"natural food\", \"supplementary food\", \"water\", \"simple guidelines\", \"natural proteins\", \"vitamins\", \"source of natural foods\", \"well-managed lawns\", \"shrub\", \"flowerbeds\"]"
},
{
"from": "human",
"value": "What describes date in the text?"
},
{
"from": "gpt",
"value": "[\"Easter Sunday\"]"
},
{
"from": "human",
"value": "What describes field of study in the text?"
},
{
"from": "gpt",
"value": "[]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" A Shadow Above - The Fall and Rise of the Raven by Joe Shute
One of the Minsmere management was kind enough to draw my attention to the publication of this book - it is now on order and I look forward to receiving it! I'll let you know how I get on with it in due course. Our herring gulls are red listed birds. Think about that the next time you hear some flaming idiot calling for a cull of them. """<|im_end|>
<|im_start|>assistant
| A Shadow Above - The Fall and Rise of the Raven by Joe Shute
One of the Minsmere management was kind enough to draw my attention to the publication of this book - it is now on order and I look forward to receiving it! I'll let you know how I get on with it in due course. Our herring gulls are red listed birds. Think about that the next time you hear some flaming idiot calling for a cull of them. | [
{
"from": "human",
"value": "Text: A Shadow Above - The Fall and Rise of the Raven by Joe Shute\n\nOne of the Minsmere management was kind enough to draw my attention to the publication of this book - it is now on order and I look forward to receiving it! I'll let you know how I get on with it in due course. Our herring gulls are red listed birds. Think about that the next time you hear some flaming idiot calling for a cull of them."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes location in the text?"
},
{
"from": "gpt",
"value": "[\"Minsmere\"]"
},
{
"from": "human",
"value": "What describes animal in the text?"
},
{
"from": "gpt",
"value": "[\"herring gulls\"]"
},
{
"from": "human",
"value": "What describes occupation in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[\"Joe Shute\"]"
},
{
"from": "human",
"value": "What describes variable in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Description in the text?"
},
{
"from": "gpt",
"value": "[]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" What is the difference between the Department of Systems Biology and the Center for Computational Biology and Bioinformatics? In recognition of the importance of systems biology to the future of biological and biomedical research, the Trustess of Columbia University approved the creation of the Department of Systems Biology in June 2013. Although the Center of Computational Biology and Bioinformatics still exists, it is now a center within the Department of Systems Biology, bringing together investigators from around the university whose primary interests are in computational biology. Because of the importance of computational disciplines within the context of systems biology, this arrangement is a natural fit, and is promoting dialogue and collaboration with other members of the Department of Systems Biology whose primary interest is not computation, but approach biology from a systems perspective. Why does the Columbia Initiative in Systems Biology have faculty from so many different departments? Systems biology is an interdisciplinary field that can be approached from a variety of perspectives. At Columbia, you can pursue training in computational biology as part of a program that closely matches your interests. Do you accept international students? Is it possible for a graduate student to do both experimental and computational research? Yes. Many of our students use both computational and experimental methods in their research. """<|im_end|>
<|im_start|>assistant
| What is the difference between the Department of Systems Biology and the Center for Computational Biology and Bioinformatics? In recognition of the importance of systems biology to the future of biological and biomedical research, the Trustess of Columbia University approved the creation of the Department of Systems Biology in June 2013. Although the Center of Computational Biology and Bioinformatics still exists, it is now a center within the Department of Systems Biology, bringing together investigators from around the university whose primary interests are in computational biology. Because of the importance of computational disciplines within the context of systems biology, this arrangement is a natural fit, and is promoting dialogue and collaboration with other members of the Department of Systems Biology whose primary interest is not computation, but approach biology from a systems perspective. Why does the Columbia Initiative in Systems Biology have faculty from so many different departments? Systems biology is an interdisciplinary field that can be approached from a variety of perspectives. At Columbia, you can pursue training in computational biology as part of a program that closely matches your interests. Do you accept international students? Is it possible for a graduate student to do both experimental and computational research? Yes. Many of our students use both computational and experimental methods in their research. | [
{
"from": "human",
"value": "Text: What is the difference between the Department of Systems Biology and the Center for Computational Biology and Bioinformatics? In recognition of the importance of systems biology to the future of biological and biomedical research, the Trustess of Columbia University approved the creation of the Department of Systems Biology in June 2013. Although the Center of Computational Biology and Bioinformatics still exists, it is now a center within the Department of Systems Biology, bringing together investigators from around the university whose primary interests are in computational biology. Because of the importance of computational disciplines within the context of systems biology, this arrangement is a natural fit, and is promoting dialogue and collaboration with other members of the Department of Systems Biology whose primary interest is not computation, but approach biology from a systems perspective. Why does the Columbia Initiative in Systems Biology have faculty from so many different departments? Systems biology is an interdisciplinary field that can be approached from a variety of perspectives. At Columbia, you can pursue training in computational biology as part of a program that closely matches your interests. Do you accept international students? Is it possible for a graduate student to do both experimental and computational research? Yes. Many of our students use both computational and experimental methods in their research."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes physical entity in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes organization in the text?"
},
{
"from": "gpt",
"value": "[\"Department of Systems Biology\", \"Center for Computational Biology and Bioinformatics\", \"Columbia University\", \"Center of Computational Biology and Bioinformatics\", \"Columbia Initiative in Systems Biology\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" The recently revised National Firearms Agreement (NFA), quietly released in February, was at the forefront of discussions when the SSAA and other firearms groups converged on the capital last week. Chaired by Justice Minister Michael Keenan, the Firearms Industry Reference Group (FIRG) made it clear that the new document and entire review process was deeply divisive and a wasted opportunity to address oppressive restrictions affecting more than one million Australian citizens. SSAA National President Geoff Jones flew the flag for our 180,000-plus members, receiving another apology for the handgun fiasco that failed to recognise the SSAA’s many legitimate handgun competitions. But it was the new NFA that the FIRG members took the Minister to task on. Minister Keenan assured the group that there was no intention to change the original document, except to recategorise lever-action shotguns. After being pressed on the many apparent unintended changes, the Minister proclaimed that the NFA is not binding on the states or territories. It is an in-principle agreement and if aspects of the NFA are unworkable or unsuitable for a jurisdiction, they have the power to deviate from the document. This was repeated time and time again throughout the meeting and it shines a light on the stark reality of firearms laws in this country: there is no such thing as national firearms laws and the NFA itself carries no weight whatsoever. """<|im_end|>
<|im_start|>assistant
| The recently revised National Firearms Agreement (NFA), quietly released in February, was at the forefront of discussions when the SSAA and other firearms groups converged on the capital last week. Chaired by Justice Minister Michael Keenan, the Firearms Industry Reference Group (FIRG) made it clear that the new document and entire review process was deeply divisive and a wasted opportunity to address oppressive restrictions affecting more than one million Australian citizens. SSAA National President Geoff Jones flew the flag for our 180,000-plus members, receiving another apology for the handgun fiasco that failed to recognise the SSAA’s many legitimate handgun competitions. But it was the new NFA that the FIRG members took the Minister to task on. Minister Keenan assured the group that there was no intention to change the original document, except to recategorise lever-action shotguns. After being pressed on the many apparent unintended changes, the Minister proclaimed that the NFA is not binding on the states or territories. It is an in-principle agreement and if aspects of the NFA are unworkable or unsuitable for a jurisdiction, they have the power to deviate from the document. This was repeated time and time again throughout the meeting and it shines a light on the stark reality of firearms laws in this country: there is no such thing as national firearms laws and the NFA itself carries no weight whatsoever. | [
{
"from": "human",
"value": "Text: The recently revised National Firearms Agreement (NFA), quietly released in February, was at the forefront of discussions when the SSAA and other firearms groups converged on the capital last week. Chaired by Justice Minister Michael Keenan, the Firearms Industry Reference Group (FIRG) made it clear that the new document and entire review process was deeply divisive and a wasted opportunity to address oppressive restrictions affecting more than one million Australian citizens. SSAA National President Geoff Jones flew the flag for our 180,000-plus members, receiving another apology for the handgun fiasco that failed to recognise the SSAA’s many legitimate handgun competitions. But it was the new NFA that the FIRG members took the Minister to task on. Minister Keenan assured the group that there was no intention to change the original document, except to recategorise lever-action shotguns. After being pressed on the many apparent unintended changes, the Minister proclaimed that the NFA is not binding on the states or territories. It is an in-principle agreement and if aspects of the NFA are unworkable or unsuitable for a jurisdiction, they have the power to deviate from the document. This was repeated time and time again throughout the meeting and it shines a light on the stark reality of firearms laws in this country: there is no such thing as national firearms laws and the NFA itself carries no weight whatsoever."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes disease in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Nationality in the text?"
},
{
"from": "gpt",
"value": "[\"Australian\"]"
},
{
"from": "human",
"value": "What describes Person in the text?"
},
{
"from": "gpt",
"value": "[\"Justice Minister Michael Keenan\", \"Geoff Jones\"]"
},
{
"from": "human",
"value": "What describes Title in the text?"
},
{
"from": "gpt",
"value": "[\"Minister\"]"
},
{
"from": "human",
"value": "What describes Number in the text?"
},
{
"from": "gpt",
"value": "[\"180,000-plus\"]"
},
{
"from": "human",
"value": "What describes Date in the text?"
},
{
"from": "gpt",
"value": "[\"February\"]"
},
{
"from": "human",
"value": "What describes Organization in the text?"
},
{
"from": "gpt",
"value": "[\"SSAA\", \"Firearms Industry Reference Group\", \"FIRG\"]"
},
{
"from": "human",
"value": "What describes Disease in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes organ in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Law in the text?"
},
{
"from": "gpt",
"value": "[\"firearms laws\"]"
},
{
"from": "human",
"value": "What describes Firearm in the text?"
},
{
"from": "gpt",
"value": "[\"handgun\", \"lever-action shotguns\"]"
},
{
"from": "human",
"value": "What describes Drive in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Region in the text?"
},
{
"from": "gpt",
"value": "[\"states\", \"territories\", \"jurisdiction\", \"country\"]"
},
{
"from": "human",
"value": "What describes Country in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Agreement in the text?"
},
{
"from": "gpt",
"value": "[\"National Firearms Agreement\"]"
},
{
"from": "human",
"value": "What describes effect in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes cell in the text?"
},
{
"from": "gpt",
"value": "[]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Cookies help us deliver our Services. By using our Services, you agree to our use of cookies. Learn More
Shazam! character breakdowns confirm film's villains
Shazam has his work cut out for him. A new batch of character breakdowns for DC's impending Shazam! (courtesy of That Hashtag Show) reveal that the titular hero will go up against as many as four villains–including three members of the Sivana Family and a baddie whose whole persona is rooted in mystery. The first antagonist Billy Batson/Shazam, played by Chuck and Thor: Ragnarok actor Zachary Levi, will attempt to take down is his arch-nemesis Doctor Thaddeus Bodog Sivana, an "evil sorcerer who regenerates from death with world domination on his mind." Within the DC Comics lore, Doctor Sivana has consistently been portrayed as (unsurprisingly given his title) a doctor of science, so it's interesting to hear that Shazam! will see him cozying up to the magical side of things as he had done in The New 52 Justice League comic series. Mark Strong recently confirmed he's the man behind the nefarious villain, telling ContactMusic, ”I'm playing an evil bastard called Doctor Sivana. They are always the best characters to play, the most fun. """<|im_end|>
<|im_start|>assistant
| Cookies help us deliver our Services. By using our Services, you agree to our use of cookies. Learn More
Shazam! character breakdowns confirm film's villains
Shazam has his work cut out for him. A new batch of character breakdowns for DC's impending Shazam! (courtesy of That Hashtag Show) reveal that the titular hero will go up against as many as four villains–including three members of the Sivana Family and a baddie whose whole persona is rooted in mystery. The first antagonist Billy Batson/Shazam, played by Chuck and Thor: Ragnarok actor Zachary Levi, will attempt to take down is his arch-nemesis Doctor Thaddeus Bodog Sivana, an "evil sorcerer who regenerates from death with world domination on his mind." Within the DC Comics lore, Doctor Sivana has consistently been portrayed as (unsurprisingly given his title) a doctor of science, so it's interesting to hear that Shazam! will see him cozying up to the magical side of things as he had done in The New 52 Justice League comic series. Mark Strong recently confirmed he's the man behind the nefarious villain, telling ContactMusic, ”I'm playing an evil bastard called Doctor Sivana. They are always the best characters to play, the most fun. | [
{
"from": "human",
"value": "Text: Cookies help us deliver our Services. By using our Services, you agree to our use of cookies. Learn More\n\nShazam! character breakdowns confirm film's villains\n\nShazam has his work cut out for him. A new batch of character breakdowns for DC's impending Shazam! (courtesy of That Hashtag Show) reveal that the titular hero will go up against as many as four villains–including three members of the Sivana Family and a baddie whose whole persona is rooted in mystery. The first antagonist Billy Batson/Shazam, played by Chuck and Thor: Ragnarok actor Zachary Levi, will attempt to take down is his arch-nemesis Doctor Thaddeus Bodog Sivana, an \"evil sorcerer who regenerates from death with world domination on his mind.\" Within the DC Comics lore, Doctor Sivana has consistently been portrayed as (unsurprisingly given his title) a doctor of science, so it's interesting to hear that Shazam! will see him cozying up to the magical side of things as he had done in The New 52 Justice League comic series. Mark Strong recently confirmed he's the man behind the nefarious villain, telling ContactMusic, ”I'm playing an evil bastard called Doctor Sivana. They are always the best characters to play, the most fun."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes Person in the text?"
},
{
"from": "gpt",
"value": "[\"Billy Batson/Shazam\", \"Chuck\", \"Zachary Levi\", \"Doctor Thaddeus Bodog Sivana\", \"Mark Strong\"]"
},
{
"from": "human",
"value": "What describes Organization in the text?"
},
{
"from": "gpt",
"value": "[\"DC's\", \"That Hashtag Show\", \"DC Comics\", \"ContactMusic\"]"
},
{
"from": "human",
"value": "What describes Movie in the text?"
},
{
"from": "gpt",
"value": "[\"Shazam!\", \"Thor: Ragnarok\", \"The New 52 Justice League\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Home Comfort isn't something
you should have to worry about. WeCare Protection Plus Plans
ensure the performance of your
home comfort equipment and
provide the highest quality
parts and labor atno extra charge
WeCare Maintenance Plans and Protection Plans for your Heat Pump
If you are worried about how your new heat pump is going to fare through Ontario’s cold winters and hot summers, invest in a WeCare Maintenance or Protection Plan. It provides comprehensive HVAC system coverage with all maintenance and repair work performed by professional technicians from your local ClimateCare member. A WeCare HVAC system maintenance or protection plan covers your heat pump and everything else needed to keep you warm in the winter and cool in the summer. Your local heating and cooling experts are there for seasonal maintenance and – just in case – on call for emergency repairs. Heat Pump Maintenance or Protection Plan
Heat pump systems are typically more energy efficient than traditional oil and gas furnaces. Whether you are using an energy efficient heat pump in conjunction with your main furnace or with a geothermal heat pump for sustainable, low cost heating and cooling, a WeCare Maintenance or Protection Plan will keep your system operating at its best. Routine system maintenance is a sure way to avoid future repairs, reduce energy waste and keep your utility bills low. """<|im_end|>
<|im_start|>assistant
| Home Comfort isn't something
you should have to worry about. WeCare Protection Plus Plans
ensure the performance of your
home comfort equipment and
provide the highest quality
parts and labor atno extra charge
WeCare Maintenance Plans and Protection Plans for your Heat Pump
If you are worried about how your new heat pump is going to fare through Ontario’s cold winters and hot summers, invest in a WeCare Maintenance or Protection Plan. It provides comprehensive HVAC system coverage with all maintenance and repair work performed by professional technicians from your local ClimateCare member. A WeCare HVAC system maintenance or protection plan covers your heat pump and everything else needed to keep you warm in the winter and cool in the summer. Your local heating and cooling experts are there for seasonal maintenance and – just in case – on call for emergency repairs. Heat Pump Maintenance or Protection Plan
Heat pump systems are typically more energy efficient than traditional oil and gas furnaces. Whether you are using an energy efficient heat pump in conjunction with your main furnace or with a geothermal heat pump for sustainable, low cost heating and cooling, a WeCare Maintenance or Protection Plan will keep your system operating at its best. Routine system maintenance is a sure way to avoid future repairs, reduce energy waste and keep your utility bills low. | [
{
"from": "human",
"value": "Text: Home Comfort isn't something\nyou should have to worry about. WeCare Protection Plus Plans\nensure the performance of your\nhome comfort equipment and\nprovide the highest quality\nparts and labor atno extra charge\n\nWeCare Maintenance Plans and Protection Plans for your Heat Pump\n\nIf you are worried about how your new heat pump is going to fare through Ontario’s cold winters and hot summers, invest in a WeCare Maintenance or Protection Plan. It provides comprehensive HVAC system coverage with all maintenance and repair work performed by professional technicians from your local ClimateCare member. A WeCare HVAC system maintenance or protection plan covers your heat pump and everything else needed to keep you warm in the winter and cool in the summer. Your local heating and cooling experts are there for seasonal maintenance and – just in case – on call for emergency repairs. Heat Pump Maintenance or Protection Plan\n\nHeat pump systems are typically more energy efficient than traditional oil and gas furnaces. Whether you are using an energy efficient heat pump in conjunction with your main furnace or with a geothermal heat pump for sustainable, low cost heating and cooling, a WeCare Maintenance or Protection Plan will keep your system operating at its best. Routine system maintenance is a sure way to avoid future repairs, reduce energy waste and keep your utility bills low."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes product in the text?"
},
{
"from": "gpt",
"value": "[\"Home Comfort\", \"WeCare Protection Plus Plans\", \"HVAC system\", \"WeCare Maintenance\", \"Protection Plan\", \"heat pump\", \"oil and gas furnaces\", \"geothermal heat pump\", \"utility bills\"]"
},
{
"from": "human",
"value": "What describes Event in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Company in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes service in the text?"
},
{
"from": "gpt",
"value": "[\"emergency repairs\"]"
},
{
"from": "human",
"value": "What describes organization in the text?"
},
{
"from": "gpt",
"value": "[\"ClimateCare member\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Chevel Shepherd
Chevel Shepherd (born June 18, 2002) is an American singer. She is the winner of season 15 of the American talent competition The Voice at the age of 16. On May 26, 2019, Shepherd performed God Bless America before the 103rd running of the Indianapolis 500. Early life
Chevel Shepherd was born on June 18, 2002 in Farmington, New Mexico. Career
In 2018, Shepherd entered the 15th season of The Voice. In her blind audition, she sang "If I Die Young" by The Band Perry. Kelly Clarkson, Jennifer Hudson and Blake Shelton turned, and Chevel chose to be a part of Team Kelly. She made it to the finale and won the competition on December 18, 2018. The Voice (2018)
The Voice performances
Discography
Singles
Awards and nominations
References
External links
- (October 1, 2018)
- (December 17, 2018)
Category:2002 births
Category:21st-century American singers
Category:21st-century American women singers
Category:American female country singers
Category:American country singer-songwriters
Category:American new wave musicians
Category:Living people
Category:People from Farmington, New Mexico
Category:Republic Records artists
Category:Singers from New Mexico
Category:The Voice (franchise) contestants
Category:The Voice (franchise) winners
Category:Universal Music Group artists """<|im_end|>
<|im_start|>assistant
| Chevel Shepherd
Chevel Shepherd (born June 18, 2002) is an American singer. She is the winner of season 15 of the American talent competition The Voice at the age of 16. On May 26, 2019, Shepherd performed God Bless America before the 103rd running of the Indianapolis 500. Early life
Chevel Shepherd was born on June 18, 2002 in Farmington, New Mexico. Career
In 2018, Shepherd entered the 15th season of The Voice. In her blind audition, she sang "If I Die Young" by The Band Perry. Kelly Clarkson, Jennifer Hudson and Blake Shelton turned, and Chevel chose to be a part of Team Kelly. She made it to the finale and won the competition on December 18, 2018. The Voice (2018)
The Voice performances
Discography
Singles
Awards and nominations
References
External links
- (October 1, 2018)
- (December 17, 2018)
Category:2002 births
Category:21st-century American singers
Category:21st-century American women singers
Category:American female country singers
Category:American country singer-songwriters
Category:American new wave musicians
Category:Living people
Category:People from Farmington, New Mexico
Category:Republic Records artists
Category:Singers from New Mexico
Category:The Voice (franchise) contestants
Category:The Voice (franchise) winners
Category:Universal Music Group artists | [
{
"from": "human",
"value": "Text: Chevel Shepherd\n\nChevel Shepherd (born June 18, 2002) is an American singer. She is the winner of season 15 of the American talent competition The Voice at the age of 16. On May 26, 2019, Shepherd performed God Bless America before the 103rd running of the Indianapolis 500. Early life\nChevel Shepherd was born on June 18, 2002 in Farmington, New Mexico. Career\nIn 2018, Shepherd entered the 15th season of The Voice. In her blind audition, she sang \"If I Die Young\" by The Band Perry. Kelly Clarkson, Jennifer Hudson and Blake Shelton turned, and Chevel chose to be a part of Team Kelly. She made it to the finale and won the competition on December 18, 2018. The Voice (2018)\n\nThe Voice performances\n\nDiscography\n\nSingles\n\nAwards and nominations\n\nReferences\n\nExternal links\n - (October 1, 2018)\n - (December 17, 2018)\n\nCategory:2002 births\nCategory:21st-century American singers\nCategory:21st-century American women singers\nCategory:American female country singers\nCategory:American country singer-songwriters\nCategory:American new wave musicians\nCategory:Living people\nCategory:People from Farmington, New Mexico\nCategory:Republic Records artists\nCategory:Singers from New Mexico\nCategory:The Voice (franchise) contestants\nCategory:The Voice (franchise) winners\nCategory:Universal Music Group artists"
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes Title in the text?"
},
{
"from": "gpt",
"value": "[\"Discography\", \"Singles\", \"Awards and nominations\"]"
},
{
"from": "human",
"value": "What describes Person in the text?"
},
{
"from": "gpt",
"value": "[\"Chevel Shepherd\", \"Kelly Clarkson\", \"Jennifer Hudson\", \"Blake Shelton\"]"
},
{
"from": "human",
"value": "What describes Date in the text?"
},
{
"from": "gpt",
"value": "[\"June 18, 2002\", \"May 26, 2019\", \"2018\", \"December 18, 2018\", \"October 1, 2018\", \"December 17, 2018\", \"2002\"]"
},
{
"from": "human",
"value": "What describes Song in the text?"
},
{
"from": "gpt",
"value": "[\"God Bless America\"]"
},
{
"from": "human",
"value": "What describes Number in the text?"
},
{
"from": "gpt",
"value": "[\"season 15\", \"16\", \"the 103rd running\"]"
},
{
"from": "human",
"value": "What describes Event in the text?"
},
{
"from": "gpt",
"value": "[\"Indianapolis 500\"]"
},
{
"from": "human",
"value": "What describes TV Show in the text?"
},
{
"from": "gpt",
"value": "[\"The Voice\", \"The Voice (franchise)\"]"
},
{
"from": "human",
"value": "What describes Company in the text?"
},
{
"from": "gpt",
"value": "[\"Republic Records\", \"Universal Music Group\"]"
},
{
"from": "human",
"value": "What describes City in the text?"
},
{
"from": "gpt",
"value": "[\"Farmington\"]"
},
{
"from": "human",
"value": "What describes Band in the text?"
},
{
"from": "gpt",
"value": "[\"The Band Perry\"]"
},
{
"from": "human",
"value": "What describes Nationality in the text?"
},
{
"from": "gpt",
"value": "[\"American\"]"
},
{
"from": "human",
"value": "What describes product in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Status in the text?"
},
{
"from": "gpt",
"value": "[\"Living people\"]"
},
{
"from": "human",
"value": "What describes State in the text?"
},
{
"from": "gpt",
"value": "[\"New Mexico\"]"
},
{
"from": "human",
"value": "What describes Profession in the text?"
},
{
"from": "gpt",
"value": "[\"21st-century American singers\", \"21st-century American women singers\", \"American female country singers\", \"American country singer-songwriters\", \"American new wave musicians\", \"contestants\", \"winners\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Theresa May is under pressure to admit what she knew about the misfiring of an unarmed Trident missile, three weeks before a parliamentary vote on whether to renew Britain’s flagship nuclear deterrent system. The backlash gathered momentum after a disastrous TV interview, on the BBC’s Andrew Marr Show, in which the Prime Minister was asked four times whether she was aware of the incident – but refused to confirm or deny. Reports in The Sunday Times claim that the launch of an unarmed Trident II D5 missile from a British submarine off the coast of Florida in June malfunctioned. A source told the paper that the missile could have veered off in the wrong direction after being launched and started heading towards America. Mrs May did not mention this test in a speech to MPs before the Commons vote, in which she urged them to back renewal, leading to allegations the malfunction has been covered up
Jeremy Corbyn responded to Ms May’s evasiveness by describing the alleged incident, which took place in July, as a “pretty catastrophic error”. “We understand the Prime Minister chose not to inform Parliament, and instead it came out through the media," he told Sky News. """<|im_end|>
<|im_start|>assistant
| Theresa May is under pressure to admit what she knew about the misfiring of an unarmed Trident missile, three weeks before a parliamentary vote on whether to renew Britain’s flagship nuclear deterrent system. The backlash gathered momentum after a disastrous TV interview, on the BBC’s Andrew Marr Show, in which the Prime Minister was asked four times whether she was aware of the incident – but refused to confirm or deny. Reports in The Sunday Times claim that the launch of an unarmed Trident II D5 missile from a British submarine off the coast of Florida in June malfunctioned. A source told the paper that the missile could have veered off in the wrong direction after being launched and started heading towards America. Mrs May did not mention this test in a speech to MPs before the Commons vote, in which she urged them to back renewal, leading to allegations the malfunction has been covered up
Jeremy Corbyn responded to Ms May’s evasiveness by describing the alleged incident, which took place in July, as a “pretty catastrophic error”. “We understand the Prime Minister chose not to inform Parliament, and instead it came out through the media," he told Sky News. | [
{
"from": "human",
"value": "Text: Theresa May is under pressure to admit what she knew about the misfiring of an unarmed Trident missile, three weeks before a parliamentary vote on whether to renew Britain’s flagship nuclear deterrent system. The backlash gathered momentum after a disastrous TV interview, on the BBC’s Andrew Marr Show, in which the Prime Minister was asked four times whether she was aware of the incident – but refused to confirm or deny. Reports in The Sunday Times claim that the launch of an unarmed Trident II D5 missile from a British submarine off the coast of Florida in June malfunctioned. A source told the paper that the missile could have veered off in the wrong direction after being launched and started heading towards America. Mrs May did not mention this test in a speech to MPs before the Commons vote, in which she urged them to back renewal, leading to allegations the malfunction has been covered up\n\nJeremy Corbyn responded to Ms May’s evasiveness by describing the alleged incident, which took place in July, as a “pretty catastrophic error”. “We understand the Prime Minister chose not to inform Parliament, and instead it came out through the media,\" he told Sky News."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes government body in the text?"
},
{
"from": "gpt",
"value": "[\"Commons\", \"Parliament\"]"
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[\"Theresa May\", \"Mrs May\", \"Jeremy Corbyn\"]"
},
{
"from": "human",
"value": "What describes location in the text?"
},
{
"from": "gpt",
"value": "[\"Britain\", \"Florida\", \"America\"]"
},
{
"from": "human",
"value": "What describes TV show in the text?"
},
{
"from": "gpt",
"value": "[\"Andrew Marr Show\", \"Sky News\"]"
},
{
"from": "human",
"value": "What describes date in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes weapon in the text?"
},
{
"from": "gpt",
"value": "[\"Trident missile\", \"Trident II D5 missile\"]"
},
{
"from": "human",
"value": "What describes newspaper in the text?"
},
{
"from": "gpt",
"value": "[\"Sunday Times\"]"
},
{
"from": "human",
"value": "What describes gas in the text?"
},
{
"from": "gpt",
"value": "[]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" A man suspected of being a poacher was killed inside Kruger National Park in South Africa last week after coming face-to-face with an angry Cape buffalo. The unnamed 35-year-old, along with two companions, entered the famous park after dark where they managed to stumble across the fearsome beast. While the other two men managed to escape without injury, their friend was trampled to death. Weighing in excess of 1500 pounds, and standing over a meter in height at the shoulder, the Cape buffalo is well known for its foul disposition. That combination of size and temperament can make them extremely dangerous when startled or threatened, and more than 200 human deaths are attributed to the species each year. That number makes them one of the most dangerous creatures in all of Africa, where they are considered to be amongst the “Big 5” of safari animals. What exactly the three men were doing inside the national park after dark is unclear, although officials believe they were there to poach animals of some kind. Poaching has become a major problem for South Africa, where rhinos are being killed at a record pace in order to harvest their horns. Prized for their use in traditional medicines in Asia, those horns are then sold on the black market for as much as $100,000. """<|im_end|>
<|im_start|>assistant
| A man suspected of being a poacher was killed inside Kruger National Park in South Africa last week after coming face-to-face with an angry Cape buffalo. The unnamed 35-year-old, along with two companions, entered the famous park after dark where they managed to stumble across the fearsome beast. While the other two men managed to escape without injury, their friend was trampled to death. Weighing in excess of 1500 pounds, and standing over a meter in height at the shoulder, the Cape buffalo is well known for its foul disposition. That combination of size and temperament can make them extremely dangerous when startled or threatened, and more than 200 human deaths are attributed to the species each year. That number makes them one of the most dangerous creatures in all of Africa, where they are considered to be amongst the “Big 5” of safari animals. What exactly the three men were doing inside the national park after dark is unclear, although officials believe they were there to poach animals of some kind. Poaching has become a major problem for South Africa, where rhinos are being killed at a record pace in order to harvest their horns. Prized for their use in traditional medicines in Asia, those horns are then sold on the black market for as much as $100,000. | [
{
"from": "human",
"value": "Text: A man suspected of being a poacher was killed inside Kruger National Park in South Africa last week after coming face-to-face with an angry Cape buffalo. The unnamed 35-year-old, along with two companions, entered the famous park after dark where they managed to stumble across the fearsome beast. While the other two men managed to escape without injury, their friend was trampled to death. Weighing in excess of 1500 pounds, and standing over a meter in height at the shoulder, the Cape buffalo is well known for its foul disposition. That combination of size and temperament can make them extremely dangerous when startled or threatened, and more than 200 human deaths are attributed to the species each year. That number makes them one of the most dangerous creatures in all of Africa, where they are considered to be amongst the “Big 5” of safari animals. What exactly the three men were doing inside the national park after dark is unclear, although officials believe they were there to poach animals of some kind. Poaching has become a major problem for South Africa, where rhinos are being killed at a record pace in order to harvest their horns. Prized for their use in traditional medicines in Asia, those horns are then sold on the black market for as much as $100,000."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes Location in the text?"
},
{
"from": "gpt",
"value": "[\"Kruger National Park\", \"South Africa\", \"Africa\", \"Asia\"]"
},
{
"from": "human",
"value": "What describes Animal in the text?"
},
{
"from": "gpt",
"value": "[\"Cape buffalo\", \"Big 5\", \"rhinos\"]"
},
{
"from": "human",
"value": "What describes Person in the text?"
},
{
"from": "gpt",
"value": "[\"35-year-old\"]"
},
{
"from": "human",
"value": "What describes property in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Medical Device in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes process in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Measurement in the text?"
},
{
"from": "gpt",
"value": "[\"1500 pounds\", \"over a meter\", \"200\", \"$100,000\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Putnam, chair of the House Government Reform Subcommittee on Technology, Information Policy, Intergovernmental Relations and the Census, held hearings last week on the results of the first year under FISMA. Although the Office of Management and Budget reported that progress has been made in IT security, most of the 24 executive branch agencies covered by the law fell far short of goals set by OMB. The subcommittee in December gave the government an overall grade of D in IT security based on FISMA reports for 2003. Karen Evans, OMB administrator for electronic government and IT, said the same security weaknesses are found year after year, legacy systems continue to operate with serious weaknesses and agencies still are not adequately prioritizing IT spending. She said OMB has halted fiscal 2004 spending on some IT programs until agencies fix security problems in existing systems. 'Dollars are not moving out until we have the plans,' she said, but she could not say how much money was involved or what projects have been delayed. A lack of individual accountability for compliance was cited several times as a cause of slow progress in security reform. Putnam said he is working with Rep. Tom Davis (R-Va.) to amend the Clinger-Cohen Act 'to explicitly identify information security as a required element of the IT investment management oversight and decision making process.' """<|im_end|>
<|im_start|>assistant
| Putnam, chair of the House Government Reform Subcommittee on Technology, Information Policy, Intergovernmental Relations and the Census, held hearings last week on the results of the first year under FISMA. Although the Office of Management and Budget reported that progress has been made in IT security, most of the 24 executive branch agencies covered by the law fell far short of goals set by OMB. The subcommittee in December gave the government an overall grade of D in IT security based on FISMA reports for 2003. Karen Evans, OMB administrator for electronic government and IT, said the same security weaknesses are found year after year, legacy systems continue to operate with serious weaknesses and agencies still are not adequately prioritizing IT spending. She said OMB has halted fiscal 2004 spending on some IT programs until agencies fix security problems in existing systems. 'Dollars are not moving out until we have the plans,' she said, but she could not say how much money was involved or what projects have been delayed. A lack of individual accountability for compliance was cited several times as a cause of slow progress in security reform. Putnam said he is working with Rep. Tom Davis (R-Va.) to amend the Clinger-Cohen Act 'to explicitly identify information security as a required element of the IT investment management oversight and decision making process.' | [
{
"from": "human",
"value": "Text: Putnam, chair of the House Government Reform Subcommittee on Technology, Information Policy, Intergovernmental Relations and the Census, held hearings last week on the results of the first year under FISMA. Although the Office of Management and Budget reported that progress has been made in IT security, most of the 24 executive branch agencies covered by the law fell far short of goals set by OMB. The subcommittee in December gave the government an overall grade of D in IT security based on FISMA reports for 2003. Karen Evans, OMB administrator for electronic government and IT, said the same security weaknesses are found year after year, legacy systems continue to operate with serious weaknesses and agencies still are not adequately prioritizing IT spending. She said OMB has halted fiscal 2004 spending on some IT programs until agencies fix security problems in existing systems. 'Dollars are not moving out until we have the plans,' she said, but she could not say how much money was involved or what projects have been delayed. A lack of individual accountability for compliance was cited several times as a cause of slow progress in security reform. Putnam said he is working with Rep. Tom Davis (R-Va.) to amend the Clinger-Cohen Act 'to explicitly identify information security as a required element of the IT investment management oversight and decision making process.'"
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes date in the text?"
},
{
"from": "gpt",
"value": "[\"December\", \"year\", \"fiscal 2004\"]"
},
{
"from": "human",
"value": "What describes organization in the text?"
},
{
"from": "gpt",
"value": "[\"House Government Reform Subcommittee on Technology, Information Policy, Intergovernmental Relations and the Census\", \"FISMA\", \"Office of Management and Budget\", \"OMB\"]"
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[\"Putnam\", \"Karen Evans\", \"Rep. Tom Davis\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Yes To™ Cucumbers Hypoallergenic Facial Wipes Customer Reviews
From last-minute trips to late-night drinks, a busy schedule can wreak havoc on your skin care routine. Thankfully, these oil-free towelettes are designed to pick up the slack, keeping your skin fresh and clean even when your sink and bathroom shelf are out of reach. These 98 percent natural wipes pull triple-duty as a cleanser, exfoliator, and moisturizer, all in a handy pocket-sized package. Organic cucumber extract removes dead skin cells and relieves puffiness, while aloe vera soothes and hydrates skin. Green tea’s dual antioxidant and astringent properties help to ease troubled skin and prevent unexpected breakouts. Perfect! We have all had night where we are so tired we'd rather use a refreshing cucumber wipe that takes off make up, product and SWEAT in a few seconds, Especially while getting your girls to finish their night time routine too, and the other sinks are occupied. The cucumber wipes are skin savers, and also a real treat in summer when suddenly other parts of you might benefit from a cucumber wipe on a hot summer day. Even my girls love them. 5
Was this review helpful to you? Yes |
NoWas this review helpful to you? """<|im_end|>
<|im_start|>assistant
| Yes To™ Cucumbers Hypoallergenic Facial Wipes Customer Reviews
From last-minute trips to late-night drinks, a busy schedule can wreak havoc on your skin care routine. Thankfully, these oil-free towelettes are designed to pick up the slack, keeping your skin fresh and clean even when your sink and bathroom shelf are out of reach. These 98 percent natural wipes pull triple-duty as a cleanser, exfoliator, and moisturizer, all in a handy pocket-sized package. Organic cucumber extract removes dead skin cells and relieves puffiness, while aloe vera soothes and hydrates skin. Green tea’s dual antioxidant and astringent properties help to ease troubled skin and prevent unexpected breakouts. Perfect! We have all had night where we are so tired we'd rather use a refreshing cucumber wipe that takes off make up, product and SWEAT in a few seconds, Especially while getting your girls to finish their night time routine too, and the other sinks are occupied. The cucumber wipes are skin savers, and also a real treat in summer when suddenly other parts of you might benefit from a cucumber wipe on a hot summer day. Even my girls love them. 5
Was this review helpful to you? Yes |
NoWas this review helpful to you? | [
{
"from": "human",
"value": "Text: Yes To™ Cucumbers Hypoallergenic Facial Wipes Customer Reviews\n\nFrom last-minute trips to late-night drinks, a busy schedule can wreak havoc on your skin care routine. Thankfully, these oil-free towelettes are designed to pick up the slack, keeping your skin fresh and clean even when your sink and bathroom shelf are out of reach. These 98 percent natural wipes pull triple-duty as a cleanser, exfoliator, and moisturizer, all in a handy pocket-sized package. Organic cucumber extract removes dead skin cells and relieves puffiness, while aloe vera soothes and hydrates skin. Green tea’s dual antioxidant and astringent properties help to ease troubled skin and prevent unexpected breakouts. Perfect! We have all had night where we are so tired we'd rather use a refreshing cucumber wipe that takes off make up, product and SWEAT in a few seconds, Especially while getting your girls to finish their night time routine too, and the other sinks are occupied. The cucumber wipes are skin savers, and also a real treat in summer when suddenly other parts of you might benefit from a cucumber wipe on a hot summer day. Even my girls love them. 5\n\nWas this review helpful to you? Yes |\nNoWas this review helpful to you?"
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes Percentage in the text?"
},
{
"from": "gpt",
"value": "[\"98 percent\"]"
},
{
"from": "human",
"value": "What describes Product in the text?"
},
{
"from": "gpt",
"value": "[\"Yes To\\u2122 Cucumbers Hypoallergenic Facial Wipes\"]"
},
{
"from": "human",
"value": "What describes Ingredient in the text?"
},
{
"from": "gpt",
"value": "[\"aloe vera\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" This is exactly what many of us have suspected was going on for the past year. It was, in part, why I chose to wear my support of Bernie Sanders on my sleeve. Even with that, at no time did the Sanders campaign ever even hint at their desire for me to cover a certain topic or angle. Every single story I wrote, I wrote on my own without any such input from the campaign. """<|im_end|>
<|im_start|>assistant
| This is exactly what many of us have suspected was going on for the past year. It was, in part, why I chose to wear my support of Bernie Sanders on my sleeve. Even with that, at no time did the Sanders campaign ever even hint at their desire for me to cover a certain topic or angle. Every single story I wrote, I wrote on my own without any such input from the campaign. | [
{
"from": "human",
"value": "Text: This is exactly what many of us have suspected was going on for the past year. It was, in part, why I chose to wear my support of Bernie Sanders on my sleeve. Even with that, at no time did the Sanders campaign ever even hint at their desire for me to cover a certain topic or angle. Every single story I wrote, I wrote on my own without any such input from the campaign."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes organization in the text?"
},
{
"from": "gpt",
"value": "[\"Sanders campaign\"]"
},
{
"from": "human",
"value": "What describes association in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes lipid in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[\"Bernie Sanders\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" A digital painting that I did of a screenshot from a short japanese horror film that I really like called "diet".The videos of me doing this are here: """<|im_end|>
<|im_start|>assistant
| A digital painting that I did of a screenshot from a short japanese horror film that I really like called "diet".The videos of me doing this are here: | [
{
"from": "human",
"value": "Text: A digital painting that I did of a screenshot from a short japanese horror film that I really like called \"diet\".The videos of me doing this are here:"
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes media in the text?"
},
{
"from": "gpt",
"value": "[\"videos\"]"
},
{
"from": "human",
"value": "What describes movie in the text?"
},
{
"from": "gpt",
"value": "[\"japanese horror film\", \"diet\"]"
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[\"me\"]"
},
{
"from": "human",
"value": "What describes image in the text?"
},
{
"from": "gpt",
"value": "[\"screenshot\"]"
},
{
"from": "human",
"value": "What describes émission de télévision in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes artwork in the text?"
},
{
"from": "gpt",
"value": "[\"digital painting\"]"
},
{
"from": "human",
"value": "What describes Miscellaneous in the text?"
},
{
"from": "gpt",
"value": "[]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" ? As part of its celebration of the 250th anniversary of the arrival of the first English settlers in what was to become Bridgton, Bridgton Historical Society will host storyteller Jo Radner for a glimpse into that world in her performance of “Colonial Stories: The Tangled Lives of Native Americans and English Settlers.” The stories reveal the way English and Native people in this region saw one another as defenders and trespassers, pursuers and refugees, relatives and aliens, kind neighbors and ruthless destroyers. """<|im_end|>
<|im_start|>assistant
| ? As part of its celebration of the 250th anniversary of the arrival of the first English settlers in what was to become Bridgton, Bridgton Historical Society will host storyteller Jo Radner for a glimpse into that world in her performance of “Colonial Stories: The Tangled Lives of Native Americans and English Settlers.” The stories reveal the way English and Native people in this region saw one another as defenders and trespassers, pursuers and refugees, relatives and aliens, kind neighbors and ruthless destroyers. | [
{
"from": "human",
"value": "Text: ? As part of its celebration of the 250th anniversary of the arrival of the first English settlers in what was to become Bridgton, Bridgton Historical Society will host storyteller Jo Radner for a glimpse into that world in her performance of “Colonial Stories: The Tangled Lives of Native Americans and English Settlers.” The stories reveal the way English and Native people in this region saw one another as defenders and trespassers, pursuers and refugees, relatives and aliens, kind neighbors and ruthless destroyers."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes group in the text?"
},
{
"from": "gpt",
"value": "[\"English settlers\", \"Native Americans\", \"English\"]"
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[\"Jo Radner\"]"
},
{
"from": "human",
"value": "What describes location in the text?"
},
{
"from": "gpt",
"value": "[\"Bridgton\"]"
},
{
"from": "human",
"value": "What describes organization in the text?"
},
{
"from": "gpt",
"value": "[\"Bridgton Historical Society\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" One True Fear
one true fear
dwells in me
a phobia beyond compare
that of being
eaten alive
by gator, shark, or bear
of course this fate
would be made worse
if perhaps I could not see
to become a meal
in the dark
how frightening that would be
and if by chance
the attack occurred
inside some confined space
a buried coffin
a sinking car
a fear I could not face
and what if help
was within reach
if only I could scream
my voice is lost
I’m paralyzed
as if I’m in a dream
pick up the phone
to call for help
hear nothing but dead air
then heavy breathing
oh my God! hello is someone there
should I escape
will i survive
the treatments for the maul
i dread the pills
stuck in my throat
and that noxious cotton ball
so now you know
my one true fear
that has made me such a wreck
nothing worse
than eaten alive
well…perhaps a turtleneck
Like this:
LikeLoading...
Related
About Susan Warren Utley
Susan Warren Utley is a wife and mother living and writing in the shadows of the Blue Ridge Mountains of Virginia. Her stories are inspired by the unexpected twists and turns of real life and by her muse, a feisty Jack Russell Terrier who occasionally answers to the name of Lucy. """<|im_end|>
<|im_start|>assistant
| One True Fear
one true fear
dwells in me
a phobia beyond compare
that of being
eaten alive
by gator, shark, or bear
of course this fate
would be made worse
if perhaps I could not see
to become a meal
in the dark
how frightening that would be
and if by chance
the attack occurred
inside some confined space
a buried coffin
a sinking car
a fear I could not face
and what if help
was within reach
if only I could scream
my voice is lost
I’m paralyzed
as if I’m in a dream
pick up the phone
to call for help
hear nothing but dead air
then heavy breathing
oh my God! hello is someone there
should I escape
will i survive
the treatments for the maul
i dread the pills
stuck in my throat
and that noxious cotton ball
so now you know
my one true fear
that has made me such a wreck
nothing worse
than eaten alive
well…perhaps a turtleneck
Like this:
LikeLoading...
Related
About Susan Warren Utley
Susan Warren Utley is a wife and mother living and writing in the shadows of the Blue Ridge Mountains of Virginia. Her stories are inspired by the unexpected twists and turns of real life and by her muse, a feisty Jack Russell Terrier who occasionally answers to the name of Lucy. | [
{
"from": "human",
"value": "Text: One True Fear\n\none true fear\ndwells in me\na phobia beyond compare\nthat of being\neaten alive\nby gator, shark, or bear\nof course this fate\nwould be made worse\nif perhaps I could not see\nto become a meal\nin the dark\nhow frightening that would be\nand if by chance\nthe attack occurred\ninside some confined space\na buried coffin\na sinking car\na fear I could not face\nand what if help\nwas within reach\nif only I could scream\nmy voice is lost\nI’m paralyzed\nas if I’m in a dream\npick up the phone\nto call for help\nhear nothing but dead air\nthen heavy breathing\noh my God! hello is someone there\nshould I escape\nwill i survive\nthe treatments for the maul\ni dread the pills\nstuck in my throat\nand that noxious cotton ball\nso now you know\nmy one true fear\nthat has made me such a wreck\nnothing worse\nthan eaten alive\nwell…perhaps a turtleneck\n\nLike this:\n\nLikeLoading...\n\nRelated\n\nAbout Susan Warren Utley\n\nSusan Warren Utley is a wife and mother living and writing in the shadows of the Blue Ridge Mountains of Virginia. Her stories are inspired by the unexpected twists and turns of real life and by her muse, a feisty Jack Russell Terrier who occasionally answers to the name of Lucy."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes animal in the text?"
},
{
"from": "gpt",
"value": "[\"gator\", \"shark\", \"bear\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" This is an archived article and the information in the article may be outdated. Please look at the time stamp on the story to see when it was last updated. LOS ANGELES- For one little girl, Adrian Young turned out to be more than a crossing guard. Young became her guardian angel. The crossing guard had just finished her shift at Alexandria Avenue Elementary School in Los Angeles when she heard the girl screaming. “She was like ‘Please don’t let her take me. I don’t know her. She’s not my mom,'” Young told CNN affiliate KABC. “I just told her to grab onto me as tight as she could, and I held onto her and the lady just began to attack me, so I just thought about attacking her to make sure she can’t take this little girl,” Young said. “I kind of went into mother mode … because I couldn’t see myself letting this little girl be taken. I’m just grateful I was there.”
At a public event last week, Los Angeles City Council Member Mitch O’Farrell honored Young for her heroism. “Sometimes superheroes come in small packages,” O’Farrell said, referring to Young’s height. """<|im_end|>
<|im_start|>assistant
| This is an archived article and the information in the article may be outdated. Please look at the time stamp on the story to see when it was last updated. LOS ANGELES- For one little girl, Adrian Young turned out to be more than a crossing guard. Young became her guardian angel. The crossing guard had just finished her shift at Alexandria Avenue Elementary School in Los Angeles when she heard the girl screaming. “She was like ‘Please don’t let her take me. I don’t know her. She’s not my mom,'” Young told CNN affiliate KABC. “I just told her to grab onto me as tight as she could, and I held onto her and the lady just began to attack me, so I just thought about attacking her to make sure she can’t take this little girl,” Young said. “I kind of went into mother mode … because I couldn’t see myself letting this little girl be taken. I’m just grateful I was there.”
At a public event last week, Los Angeles City Council Member Mitch O’Farrell honored Young for her heroism. “Sometimes superheroes come in small packages,” O’Farrell said, referring to Young’s height. | [
{
"from": "human",
"value": "Text: This is an archived article and the information in the article may be outdated. Please look at the time stamp on the story to see when it was last updated. LOS ANGELES- For one little girl, Adrian Young turned out to be more than a crossing guard. Young became her guardian angel. The crossing guard had just finished her shift at Alexandria Avenue Elementary School in Los Angeles when she heard the girl screaming. “She was like ‘Please don’t let her take me. I don’t know her. She’s not my mom,'” Young told CNN affiliate KABC. “I just told her to grab onto me as tight as she could, and I held onto her and the lady just began to attack me, so I just thought about attacking her to make sure she can’t take this little girl,” Young said. “I kind of went into mother mode … because I couldn’t see myself letting this little girl be taken. I’m just grateful I was there.”\n\nAt a public event last week, Los Angeles City Council Member Mitch O’Farrell honored Young for her heroism. “Sometimes superheroes come in small packages,” O’Farrell said, referring to Young’s height."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes disease in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes nationality in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes location in the text?"
},
{
"from": "gpt",
"value": "[\"Los Angeles\"]"
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[\"Adrian Young\", \"Mitch O\\u2019Farrell\"]"
},
{
"from": "human",
"value": "What describes organization in the text?"
},
{
"from": "gpt",
"value": "[\"Alexandria Avenue Elementary School\", \"CNN\", \"KABC\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" HIV cases are seeing the largest surge among gay students in China, according to a report from southeastern China. The report released this month from health authorities in Nanchang, the capital of China’s Jiangxi province, showed that HIV infection rate among students at the city’s universities increased by 43% annually in the past five years. Over 80% of cases involved men-who-have-sex-with-men (MSM). And Nanchang is not the only city that is facing such a trend – more than 100 new cases among students are being reported annually in Beijing; while Shanghai reported 92 students infected with HIV in 2015. Data from China’s Health and Family Planning Commission show that the growth rate of student infections has surpassed that of other groups, with 81.6% of the cases concerning young MSMs who are still schooling. The country’s health authorities are worried about this trend, especially in a country that declassified homosexuality as a mental illness only in 2001. There is also almost no public discussion of gay issues or rights, in any form. Activists, though, attribute this trend to the health authorities’ improper handling of the issue. """<|im_end|>
<|im_start|>assistant
| HIV cases are seeing the largest surge among gay students in China, according to a report from southeastern China. The report released this month from health authorities in Nanchang, the capital of China’s Jiangxi province, showed that HIV infection rate among students at the city’s universities increased by 43% annually in the past five years. Over 80% of cases involved men-who-have-sex-with-men (MSM). And Nanchang is not the only city that is facing such a trend – more than 100 new cases among students are being reported annually in Beijing; while Shanghai reported 92 students infected with HIV in 2015. Data from China’s Health and Family Planning Commission show that the growth rate of student infections has surpassed that of other groups, with 81.6% of the cases concerning young MSMs who are still schooling. The country’s health authorities are worried about this trend, especially in a country that declassified homosexuality as a mental illness only in 2001. There is also almost no public discussion of gay issues or rights, in any form. Activists, though, attribute this trend to the health authorities’ improper handling of the issue. | [
{
"from": "human",
"value": "Text: HIV cases are seeing the largest surge among gay students in China, according to a report from southeastern China. The report released this month from health authorities in Nanchang, the capital of China’s Jiangxi province, showed that HIV infection rate among students at the city’s universities increased by 43% annually in the past five years. Over 80% of cases involved men-who-have-sex-with-men (MSM). And Nanchang is not the only city that is facing such a trend – more than 100 new cases among students are being reported annually in Beijing; while Shanghai reported 92 students infected with HIV in 2015. Data from China’s Health and Family Planning Commission show that the growth rate of student infections has surpassed that of other groups, with 81.6% of the cases concerning young MSMs who are still schooling. The country’s health authorities are worried about this trend, especially in a country that declassified homosexuality as a mental illness only in 2001. There is also almost no public discussion of gay issues or rights, in any form. Activists, though, attribute this trend to the health authorities’ improper handling of the issue."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes disease in the text?"
},
{
"from": "gpt",
"value": "[\"HIV\"]"
},
{
"from": "human",
"value": "What describes License in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes group in the text?"
},
{
"from": "gpt",
"value": "[\"students\", \"men-who-have-sex-with-men\", \"young MSMs\", \"Activists\"]"
},
{
"from": "human",
"value": "What describes organization in the text?"
},
{
"from": "gpt",
"value": "[\"China\\u2019s Health and Family Planning Commission\", \"health authorities\"]"
},
{
"from": "human",
"value": "What describes city in the text?"
},
{
"from": "gpt",
"value": "[\"Nanchang\", \"Beijing\", \"Shanghai\"]"
},
{
"from": "human",
"value": "What describes country in the text?"
},
{
"from": "gpt",
"value": "[\"China\"]"
},
{
"from": "human",
"value": "What describes animal in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes region in the text?"
},
{
"from": "gpt",
"value": "[\"southeastern China\", \"Jiangxi province\"]"
},
{
"from": "human",
"value": "What describes concept in the text?"
},
{
"from": "gpt",
"value": "[\"homosexuality\", \"mental illness\", \"gay issues\", \"rights\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Transcript for Tesla in autopilot mode bursts into flames
We have that stunning scene that was caught on tape now, a Tesla crashing, bursting into a ball of flames. Thankfully everyone made it out there were serious injuries though. There are certain because the car was reportedly in auto pilot before the wreck. Paula Faris is here with that Good morning, everyone. That video is something, isn't it? The driver was traveling 60 miles an hour when he slammed into a parked tow truck that he claims he didn't see and says his hands were on the wheel at the time of that incident. This morning, an alarming incident involving an Tesla, this time on a packed highway in Russian. A Tesla model 3 electric car became engulfed in flames after it crashed into a parked tow truck on the highway at more than 60 miles per hour. This video which aired on Russian state TV showed the moments after the crash when the Tesla erupts. Reports out of Moscow now say the owner was in drive sass mode, holding the steering wheel and says he did not see that the driver escaped before the flames erupted along with his two children who were rushed to the hospital grateful to be alive. Tesla features an auto pilot mode which is not a self-driving system. """<|im_end|>
<|im_start|>assistant
| Transcript for Tesla in autopilot mode bursts into flames
We have that stunning scene that was caught on tape now, a Tesla crashing, bursting into a ball of flames. Thankfully everyone made it out there were serious injuries though. There are certain because the car was reportedly in auto pilot before the wreck. Paula Faris is here with that Good morning, everyone. That video is something, isn't it? The driver was traveling 60 miles an hour when he slammed into a parked tow truck that he claims he didn't see and says his hands were on the wheel at the time of that incident. This morning, an alarming incident involving an Tesla, this time on a packed highway in Russian. A Tesla model 3 electric car became engulfed in flames after it crashed into a parked tow truck on the highway at more than 60 miles per hour. This video which aired on Russian state TV showed the moments after the crash when the Tesla erupts. Reports out of Moscow now say the owner was in drive sass mode, holding the steering wheel and says he did not see that the driver escaped before the flames erupted along with his two children who were rushed to the hospital grateful to be alive. Tesla features an auto pilot mode which is not a self-driving system. | [
{
"from": "human",
"value": "Text: Transcript for Tesla in autopilot mode bursts into flames\n\nWe have that stunning scene that was caught on tape now, a Tesla crashing, bursting into a ball of flames. Thankfully everyone made it out there were serious injuries though. There are certain because the car was reportedly in auto pilot before the wreck. Paula Faris is here with that Good morning, everyone. That video is something, isn't it? The driver was traveling 60 miles an hour when he slammed into a parked tow truck that he claims he didn't see and says his hands were on the wheel at the time of that incident. This morning, an alarming incident involving an Tesla, this time on a packed highway in Russian. A Tesla model 3 electric car became engulfed in flames after it crashed into a parked tow truck on the highway at more than 60 miles per hour. This video which aired on Russian state TV showed the moments after the crash when the Tesla erupts. Reports out of Moscow now say the owner was in drive sass mode, holding the steering wheel and says he did not see that the driver escaped before the flames erupted along with his two children who were rushed to the hospital grateful to be alive. Tesla features an auto pilot mode which is not a self-driving system."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes album section in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Organization in the text?"
},
{
"from": "gpt",
"value": "[\"Tesla\"]"
},
{
"from": "human",
"value": "What describes Technology in the text?"
},
{
"from": "gpt",
"value": "[\"auto pilot mode\", \"drive sass mode\", \"steering wheel\"]"
},
{
"from": "human",
"value": "What describes company in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Location in the text?"
},
{
"from": "gpt",
"value": "[\"Russian\", \"Moscow\"]"
},
{
"from": "human",
"value": "What describes disease in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Product in the text?"
},
{
"from": "gpt",
"value": "[\"Tesla model 3 electric car\"]"
},
{
"from": "human",
"value": "What describes Person in the text?"
},
{
"from": "gpt",
"value": "[\"Paula Faris\"]"
},
{
"from": "human",
"value": "What describes Anatomical Structure in the text?"
},
{
"from": "gpt",
"value": "[]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Paul Ratnasamy
Paul Ratnasamy is an Indian catalyst scientist, INSA Srinivasa Ramanujan Research Professor and a former director of National Chemical Laboratory of the Council of Scientific and Industrial Research (CSIR). He was honored by the Government of India, in 2001, with one of the highest Indian civilian awards of Padma Shri. Biography
Paul Ratnasamy was born on 11 June 1942 in Chennai, in the Indian state of Tamil Nadu. He graduated (BSc) in chemistry from Loyola College, Chennai in 1961 and continued his studies at the same institution to secure MSc in 1963 and PhD on his thesis, Catalytic properties of alumina based materials in 1967. His post doctoral research was at the Clarkson College of Technology, New York from 1967 to 1969 under the guidance of Prof. D. Rosenthal and moved to Belgium for further research as a research associate of J. J. Friplat at the Catholic University of Leuven where he stayed till 1972. His professional career started at the Indian Institute of Petroleum (IIP) in 1972 where he worked till 1979. During this period, he secured a post graduate diploma in Industrial Administration and Management from the British Institute of Commerce in 1975 and had a stint at the Ludwig Maximilian University of Munich as the Senior Humboldt Fellow under H. Knozinger. """<|im_end|>
<|im_start|>assistant
| Paul Ratnasamy
Paul Ratnasamy is an Indian catalyst scientist, INSA Srinivasa Ramanujan Research Professor and a former director of National Chemical Laboratory of the Council of Scientific and Industrial Research (CSIR). He was honored by the Government of India, in 2001, with one of the highest Indian civilian awards of Padma Shri. Biography
Paul Ratnasamy was born on 11 June 1942 in Chennai, in the Indian state of Tamil Nadu. He graduated (BSc) in chemistry from Loyola College, Chennai in 1961 and continued his studies at the same institution to secure MSc in 1963 and PhD on his thesis, Catalytic properties of alumina based materials in 1967. His post doctoral research was at the Clarkson College of Technology, New York from 1967 to 1969 under the guidance of Prof. D. Rosenthal and moved to Belgium for further research as a research associate of J. J. Friplat at the Catholic University of Leuven where he stayed till 1972. His professional career started at the Indian Institute of Petroleum (IIP) in 1972 where he worked till 1979. During this period, he secured a post graduate diploma in Industrial Administration and Management from the British Institute of Commerce in 1975 and had a stint at the Ludwig Maximilian University of Munich as the Senior Humboldt Fellow under H. Knozinger. | [
{
"from": "human",
"value": "Text: Paul Ratnasamy\n\nPaul Ratnasamy is an Indian catalyst scientist, INSA Srinivasa Ramanujan Research Professor and a former director of National Chemical Laboratory of the Council of Scientific and Industrial Research (CSIR). He was honored by the Government of India, in 2001, with one of the highest Indian civilian awards of Padma Shri. Biography\nPaul Ratnasamy was born on 11 June 1942 in Chennai, in the Indian state of Tamil Nadu. He graduated (BSc) in chemistry from Loyola College, Chennai in 1961 and continued his studies at the same institution to secure MSc in 1963 and PhD on his thesis, Catalytic properties of alumina based materials in 1967. His post doctoral research was at the Clarkson College of Technology, New York from 1967 to 1969 under the guidance of Prof. D. Rosenthal and moved to Belgium for further research as a research associate of J. J. Friplat at the Catholic University of Leuven where he stayed till 1972. His professional career started at the Indian Institute of Petroleum (IIP) in 1972 where he worked till 1979. During this period, he secured a post graduate diploma in Industrial Administration and Management from the British Institute of Commerce in 1975 and had a stint at the Ludwig Maximilian University of Munich as the Senior Humboldt Fellow under H. Knozinger."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes Job Title in the text?"
},
{
"from": "gpt",
"value": "[\"INSA Srinivasa Ramanujan Research Professor\", \"Senior Humboldt Fellow\"]"
},
{
"from": "human",
"value": "What describes Country in the text?"
},
{
"from": "gpt",
"value": "[\"Belgium\"]"
},
{
"from": "human",
"value": "What describes date in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes email address in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes State in the text?"
},
{
"from": "gpt",
"value": "[\"Tamil Nadu\"]"
},
{
"from": "human",
"value": "What describes Facility in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes flight in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes measurement in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes City in the text?"
},
{
"from": "gpt",
"value": "[\"Chennai\", \"New York\"]"
},
{
"from": "human",
"value": "What describes type of file in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Person in the text?"
},
{
"from": "gpt",
"value": "[\"Paul Ratnasamy\", \"Prof. D. Rosenthal\", \"J. J. Friplat\", \"H. Knozinger\"]"
},
{
"from": "human",
"value": "What describes Award in the text?"
},
{
"from": "gpt",
"value": "[\"Padma Shri\"]"
},
{
"from": "human",
"value": "What describes Government in the text?"
},
{
"from": "gpt",
"value": "[\"Government of India\"]"
},
{
"from": "human",
"value": "What describes Organization in the text?"
},
{
"from": "gpt",
"value": "[\"National Chemical Laboratory\", \"Council of Scientific and Industrial Research\", \"Indian Institute of Petroleum\"]"
},
{
"from": "human",
"value": "What describes Nationality in the text?"
},
{
"from": "gpt",
"value": "[\"Indian\"]"
},
{
"from": "human",
"value": "What describes Educational Institution in the text?"
},
{
"from": "gpt",
"value": "[\"Loyola College\", \"Clarkson College of Technology\", \"Catholic University of Leuven\", \"British Institute of Commerce\", \"Ludwig Maximilian University of Munich\"]"
},
{
"from": "human",
"value": "What describes School in the text?"
},
{
"from": "gpt",
"value": "[]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Q:
When making a Gradient Ramp can the Start/Stop be relative to the object? When making a Gradient Ramp in After Effects is there a convenient way for it to be tied to the object its applied to. I'm sure with Expressions I could somehow Pickwhip it together and adjust the code, but is there any check box or something more efficient? It's a bit tedious when I make a Gradient Ramp and then have to move the object the Gradient Ramp gets left behind. Thinking there must be a better way. Here's a screencap to try and illustrate. I decided to switch the order so it will be Blue on top then Red. I changed the position of the bottom two bars but the Gradient got left behind. That's why they look flat. A:
For a situation like this, your best approach is to pre-compose individual timelines consisting of just the bar, one for each color of bar in the final composition. You can use a ramp or a fill effect in the pre-comps, since you're rendering the effect only once. Pre-comps are the equivalent of symbols in Ai, Fl or Edge Animate, or of Smart Objects in Photoshop.-- You can place multiple instances, and any change to the original updates all of them at once. """<|im_end|>
<|im_start|>assistant
| Q:
When making a Gradient Ramp can the Start/Stop be relative to the object? When making a Gradient Ramp in After Effects is there a convenient way for it to be tied to the object its applied to. I'm sure with Expressions I could somehow Pickwhip it together and adjust the code, but is there any check box or something more efficient? It's a bit tedious when I make a Gradient Ramp and then have to move the object the Gradient Ramp gets left behind. Thinking there must be a better way. Here's a screencap to try and illustrate. I decided to switch the order so it will be Blue on top then Red. I changed the position of the bottom two bars but the Gradient got left behind. That's why they look flat. A:
For a situation like this, your best approach is to pre-compose individual timelines consisting of just the bar, one for each color of bar in the final composition. You can use a ramp or a fill effect in the pre-comps, since you're rendering the effect only once. Pre-comps are the equivalent of symbols in Ai, Fl or Edge Animate, or of Smart Objects in Photoshop.-- You can place multiple instances, and any change to the original updates all of them at once. | [
{
"from": "human",
"value": "Text: Q:\n\nWhen making a Gradient Ramp can the Start/Stop be relative to the object? When making a Gradient Ramp in After Effects is there a convenient way for it to be tied to the object its applied to. I'm sure with Expressions I could somehow Pickwhip it together and adjust the code, but is there any check box or something more efficient? It's a bit tedious when I make a Gradient Ramp and then have to move the object the Gradient Ramp gets left behind. Thinking there must be a better way. Here's a screencap to try and illustrate. I decided to switch the order so it will be Blue on top then Red. I changed the position of the bottom two bars but the Gradient got left behind. That's why they look flat. A:\n\nFor a situation like this, your best approach is to pre-compose individual timelines consisting of just the bar, one for each color of bar in the final composition. You can use a ramp or a fill effect in the pre-comps, since you're rendering the effect only once. Pre-comps are the equivalent of symbols in Ai, Fl or Edge Animate, or of Smart Objects in Photoshop.-- You can place multiple instances, and any change to the original updates all of them at once."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes tool in the text?"
},
{
"from": "gpt",
"value": "[\"Expressions\", \"pre-compose\"]"
},
{
"from": "human",
"value": "What describes effect in the text?"
},
{
"from": "gpt",
"value": "[\"fill effect\"]"
},
{
"from": "human",
"value": "What describes object in the text?"
},
{
"from": "gpt",
"value": "[\"Gradient Ramp\", \"screencap\", \"timelines\", \"bar\", \"pre-comps\", \"symbols\", \"Smart Objects\"]"
},
{
"from": "human",
"value": "What describes color in the text?"
},
{
"from": "gpt",
"value": "[\"Blue\", \"Red\"]"
},
{
"from": "human",
"value": "What describes software in the text?"
},
{
"from": "gpt",
"value": "[\"After Effects\", \"Ai\", \"Fl\", \"Edge Animate\", \"Photoshop\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Q:
Fragments vs shared preferences
Can any one differentiate Fragments and shared preferences on android. Because,
Right now i have a screen which contains an edittext box and button,if i click that button after giving proper input it should return some data according to user's input on the textbox which is on the same screen, the resultant value is from the webservice by consuming it(SOAP method)... Here my problem is, i want to show that answer on the tabhost's tab which is on the next screen...Have i to use fragment concept or shared preference concept? Can any one help me? Thanks for your precious time......
A:
Those concepts are not related. SharedPreferences is used to save data in a persistent way. Fragments are re-usable UI components. http://developer.android.com/guide/components/fragments.html
http://developer.android.com/reference/android/content/SharedPreferences.html """<|im_end|>
<|im_start|>assistant
| Q:
Fragments vs shared preferences
Can any one differentiate Fragments and shared preferences on android. Because,
Right now i have a screen which contains an edittext box and button,if i click that button after giving proper input it should return some data according to user's input on the textbox which is on the same screen, the resultant value is from the webservice by consuming it(SOAP method)... Here my problem is, i want to show that answer on the tabhost's tab which is on the next screen...Have i to use fragment concept or shared preference concept? Can any one help me? Thanks for your precious time......
A:
Those concepts are not related. SharedPreferences is used to save data in a persistent way. Fragments are re-usable UI components. http://developer.android.com/guide/components/fragments.html
http://developer.android.com/reference/android/content/SharedPreferences.html | [
{
"from": "human",
"value": "Text: Q:\n\nFragments vs shared preferences\n\nCan any one differentiate Fragments and shared preferences on android. Because,\nRight now i have a screen which contains an edittext box and button,if i click that button after giving proper input it should return some data according to user's input on the textbox which is on the same screen, the resultant value is from the webservice by consuming it(SOAP method)... Here my problem is, i want to show that answer on the tabhost's tab which is on the next screen...Have i to use fragment concept or shared preference concept? Can any one help me? Thanks for your precious time......\n\nA:\n\nThose concepts are not related. SharedPreferences is used to save data in a persistent way. Fragments are re-usable UI components. http://developer.android.com/guide/components/fragments.html\nhttp://developer.android.com/reference/android/content/SharedPreferences.html"
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes concept in the text?"
},
{
"from": "gpt",
"value": "[\"SharedPreferences\"]"
},
{
"from": "human",
"value": "What describes measurement in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes UI components in the text?"
},
{
"from": "gpt",
"value": "[\"Fragments\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Contrary to the Obama Administration's claims, the Trans Pacific Partnership (TPP) could boost China's standing as a global leader in the development, production and sale of affordable generic drugs. The Administration claims that the TPP is imperative in the race for "U.S.-style" economic and political world dominance, triumphing over China as a threatening competitor, and is pushing Congress hard to pass a "Fast-Track" bill now to grease the skids for approval down the road of the 12-nation TPP. But when it comes to prescription drugs, the free trade mantra that trade agreements produce competition, which results in more affordable access to products for consumers worldwide, really falls apart. In the case of the TPP, as in with previous trade agreements, intellectual property and other trade rules give brand name pharmaceutical companies, "Big Pharma," global monopoly rights to produce prescription drugs for years, locking out potentially competing generic companies from producing affordable drugs. Prescription drugs, already unaffordable for many, would be increasingly expensive for consumers in the U.S. and worldwide under the TPP. Enter China. In 2012, China amended its patent law through the "Measures for Compulsory Licensing to Patent Implementation." """<|im_end|>
<|im_start|>assistant
| Contrary to the Obama Administration's claims, the Trans Pacific Partnership (TPP) could boost China's standing as a global leader in the development, production and sale of affordable generic drugs. The Administration claims that the TPP is imperative in the race for "U.S.-style" economic and political world dominance, triumphing over China as a threatening competitor, and is pushing Congress hard to pass a "Fast-Track" bill now to grease the skids for approval down the road of the 12-nation TPP. But when it comes to prescription drugs, the free trade mantra that trade agreements produce competition, which results in more affordable access to products for consumers worldwide, really falls apart. In the case of the TPP, as in with previous trade agreements, intellectual property and other trade rules give brand name pharmaceutical companies, "Big Pharma," global monopoly rights to produce prescription drugs for years, locking out potentially competing generic companies from producing affordable drugs. Prescription drugs, already unaffordable for many, would be increasingly expensive for consumers in the U.S. and worldwide under the TPP. Enter China. In 2012, China amended its patent law through the "Measures for Compulsory Licensing to Patent Implementation." | [
{
"from": "human",
"value": "Text: Contrary to the Obama Administration's claims, the Trans Pacific Partnership (TPP) could boost China's standing as a global leader in the development, production and sale of affordable generic drugs. The Administration claims that the TPP is imperative in the race for \"U.S.-style\" economic and political world dominance, triumphing over China as a threatening competitor, and is pushing Congress hard to pass a \"Fast-Track\" bill now to grease the skids for approval down the road of the 12-nation TPP. But when it comes to prescription drugs, the free trade mantra that trade agreements produce competition, which results in more affordable access to products for consumers worldwide, really falls apart. In the case of the TPP, as in with previous trade agreements, intellectual property and other trade rules give brand name pharmaceutical companies, \"Big Pharma,\" global monopoly rights to produce prescription drugs for years, locking out potentially competing generic companies from producing affordable drugs. Prescription drugs, already unaffordable for many, would be increasingly expensive for consumers in the U.S. and worldwide under the TPP. Enter China. In 2012, China amended its patent law through the \"Measures for Compulsory Licensing to Patent Implementation.\""
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes Product in the text?"
},
{
"from": "gpt",
"value": "[\"prescription drugs\"]"
},
{
"from": "human",
"value": "What describes Policy in the text?"
},
{
"from": "gpt",
"value": "[\"Fast-Track\", \"free trade mantra\", \"trade agreements\", \"competition\", \"affordable access\", \"intellectual property\", \"trade rules\", \"global monopoly rights\", \"patent law\", \"Measures for Compulsory Licensing to Patent Implementation\"]"
},
{
"from": "human",
"value": "What describes Location in the text?"
},
{
"from": "gpt",
"value": "[\"China\", \"U.S.\"]"
},
{
"from": "human",
"value": "What describes Organization in the text?"
},
{
"from": "gpt",
"value": "[\"Obama Administration\", \"Trans Pacific Partnership\", \"Congress\", \"12-nation TPP\", \"brand name pharmaceutical companies\", \"Big Pharma\", \"generic companies\"]"
},
{
"from": "human",
"value": "What describes Person in the text?"
},
{
"from": "gpt",
"value": "[\"consumers worldwide\"]"
},
{
"from": "human",
"value": "What describes Date in the text?"
},
{
"from": "gpt",
"value": "[\"2012\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" The first ever mixed race Miss Japan has been forced to defend herself against accusations that she 'isn't Japanese enough' because her father is African-American. Ariana Miyamoto was born and raised in Nagasaki, speaks fluent Japanese, and has been chosen to represent Japan in the Miss Universe pageant. But the 20-year-old beauty queen used her first television appearance after her selection to apologetically explain to reporters that while she doesn't 'look Japanese' on the outside, on the inside, there are 'many Japanese things about her'. Ariana Miyamoto was born and raised in Nagasaki, speaks fluent Japanese, and has been selected to represent Japan in the Miss Universe pageant
But she has been forced to defend herself against accusations that she 'isn't Japanese enough' because her father is African-American
She has faced a storm of criticism that she is 'not Japanese enough' to represent the country because although her mother is Japanese, her father is American. In Japan, Miyamoto is called a 'hafu', a Japanese term used to refer to someone who is biracial. There is a feeling in the country, one of the least ethnically diverse in the world, that mixed-race people are not fully Japanese. Website Byokan Sunday and Naver Matome report that Twitter users have posted comments such as: 'Is it okay to select a hafu to represent Japan?' """<|im_end|>
<|im_start|>assistant
| The first ever mixed race Miss Japan has been forced to defend herself against accusations that she 'isn't Japanese enough' because her father is African-American. Ariana Miyamoto was born and raised in Nagasaki, speaks fluent Japanese, and has been chosen to represent Japan in the Miss Universe pageant. But the 20-year-old beauty queen used her first television appearance after her selection to apologetically explain to reporters that while she doesn't 'look Japanese' on the outside, on the inside, there are 'many Japanese things about her'. Ariana Miyamoto was born and raised in Nagasaki, speaks fluent Japanese, and has been selected to represent Japan in the Miss Universe pageant
But she has been forced to defend herself against accusations that she 'isn't Japanese enough' because her father is African-American
She has faced a storm of criticism that she is 'not Japanese enough' to represent the country because although her mother is Japanese, her father is American. In Japan, Miyamoto is called a 'hafu', a Japanese term used to refer to someone who is biracial. There is a feeling in the country, one of the least ethnically diverse in the world, that mixed-race people are not fully Japanese. Website Byokan Sunday and Naver Matome report that Twitter users have posted comments such as: 'Is it okay to select a hafu to represent Japan?' | [
{
"from": "human",
"value": "Text: The first ever mixed race Miss Japan has been forced to defend herself against accusations that she 'isn't Japanese enough' because her father is African-American. Ariana Miyamoto was born and raised in Nagasaki, speaks fluent Japanese, and has been chosen to represent Japan in the Miss Universe pageant. But the 20-year-old beauty queen used her first television appearance after her selection to apologetically explain to reporters that while she doesn't 'look Japanese' on the outside, on the inside, there are 'many Japanese things about her'. Ariana Miyamoto was born and raised in Nagasaki, speaks fluent Japanese, and has been selected to represent Japan in the Miss Universe pageant\n\nBut she has been forced to defend herself against accusations that she 'isn't Japanese enough' because her father is African-American\n\nShe has faced a storm of criticism that she is 'not Japanese enough' to represent the country because although her mother is Japanese, her father is American. In Japan, Miyamoto is called a 'hafu', a Japanese term used to refer to someone who is biracial. There is a feeling in the country, one of the least ethnically diverse in the world, that mixed-race people are not fully Japanese. Website Byokan Sunday and Naver Matome report that Twitter users have posted comments such as: 'Is it okay to select a hafu to represent Japan?'"
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes Person in the text?"
},
{
"from": "gpt",
"value": "[\"Ariana Miyamoto\"]"
},
{
"from": "human",
"value": "What describes Organization in the text?"
},
{
"from": "gpt",
"value": "[\"Miss Universe\"]"
},
{
"from": "human",
"value": "What describes Website in the text?"
},
{
"from": "gpt",
"value": "[\"Byokan Sunday\", \"Naver Matome\", \"Twitter\"]"
},
{
"from": "human",
"value": "What describes Term in the text?"
},
{
"from": "gpt",
"value": "[\"hafu\"]"
},
{
"from": "human",
"value": "What describes Location in the text?"
},
{
"from": "gpt",
"value": "[\"Japan\", \"Nagasaki\"]"
},
{
"from": "human",
"value": "What describes Nationality in the text?"
},
{
"from": "gpt",
"value": "[\"African-American\", \"Japanese\", \"American\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Pages
Sunday, February 28, 2010
“Society’s moved on since then,” is one of the worst constructs trotted out, the idea that not trying at all is somehow modern, in keeping with our onwards and upwards path, that commitment, fidelity, genuinely trying, great tolerance and willingness to be elastic enough because you want it to work – that that is somehow old-fashioned, something your grandparents did and then you convince yourself [or let others convince you] that they weren’t happy, on the grounds that you know of strife they had in their marriages." Yes, that is an appalling construct, but it goes even further than that: the thinking class of humanity has evolved on an ethical level beyond the mere mortal of say, the onset of the Age of Aquarius. The Darwinian notion is pushed on a more physical level in television series as The X-men and Mutant X. It is somehow suggested that reality itself has evolved. That the laws of ordinary physics somehow no longer apply. This is possible because the postmodern mind rejects objective reality. Rather, they reason from the premise that each human being lives in his own subjectively created reality: to each his own 'narrative', everyone his own Master of the Universe, the New Reality of "the smart set". """<|im_end|>
<|im_start|>assistant
| Pages
Sunday, February 28, 2010
“Society’s moved on since then,” is one of the worst constructs trotted out, the idea that not trying at all is somehow modern, in keeping with our onwards and upwards path, that commitment, fidelity, genuinely trying, great tolerance and willingness to be elastic enough because you want it to work – that that is somehow old-fashioned, something your grandparents did and then you convince yourself [or let others convince you] that they weren’t happy, on the grounds that you know of strife they had in their marriages." Yes, that is an appalling construct, but it goes even further than that: the thinking class of humanity has evolved on an ethical level beyond the mere mortal of say, the onset of the Age of Aquarius. The Darwinian notion is pushed on a more physical level in television series as The X-men and Mutant X. It is somehow suggested that reality itself has evolved. That the laws of ordinary physics somehow no longer apply. This is possible because the postmodern mind rejects objective reality. Rather, they reason from the premise that each human being lives in his own subjectively created reality: to each his own 'narrative', everyone his own Master of the Universe, the New Reality of "the smart set". | [
{
"from": "human",
"value": "Text: Pages\n\nSunday, February 28, 2010\n\n“Society’s moved on since then,” is one of the worst constructs trotted out, the idea that not trying at all is somehow modern, in keeping with our onwards and upwards path, that commitment, fidelity, genuinely trying, great tolerance and willingness to be elastic enough because you want it to work – that that is somehow old-fashioned, something your grandparents did and then you convince yourself [or let others convince you] that they weren’t happy, on the grounds that you know of strife they had in their marriages.\" Yes, that is an appalling construct, but it goes even further than that: the thinking class of humanity has evolved on an ethical level beyond the mere mortal of say, the onset of the Age of Aquarius. The Darwinian notion is pushed on a more physical level in television series as The X-men and Mutant X. It is somehow suggested that reality itself has evolved. That the laws of ordinary physics somehow no longer apply. This is possible because the postmodern mind rejects objective reality. Rather, they reason from the premise that each human being lives in his own subjectively created reality: to each his own 'narrative', everyone his own Master of the Universe, the New Reality of \"the smart set\"."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes Method in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes group in the text?"
},
{
"from": "gpt",
"value": "[\"human being\", \"smart set\"]"
},
{
"from": "human",
"value": "What describes concept in the text?"
},
{
"from": "gpt",
"value": "[\"postmodern mind\", \"objective reality\", \"Master of the Universe\", \"New Reality\"]"
},
{
"from": "human",
"value": "What describes Organization in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes title in the text?"
},
{
"from": "gpt",
"value": "[\"The X-men\", \"Mutant X\"]"
},
{
"from": "human",
"value": "What describes technology in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes date in the text?"
},
{
"from": "gpt",
"value": "[\"February 28, 2010\"]"
},
{
"from": "human",
"value": "What describes event in the text?"
},
{
"from": "gpt",
"value": "[\"Age of Aquarius\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Juan Giner
Juan Giner (born 28 July 1978) is a former professional tennis player from Spain. Biography
Giner, son of Juan and Maria-Dolores, was born in Cullera, a town 40 km from Valencia. He began playing tennis aged 10 and trained with other juniors including Marat Safin in Valencia. His best performance as a junior came at the 1996 Orange Bowl where he made the quarter-finals. In the late 1990s he started competing professionally and in his early satellite career had wins over Juan Carlos Ferrero, Gastón Gaudio and a young Rafael Nadal, who he beat twice in a week at a Spanish tournament in 2001. At Challenger level he won one title, the doubles at Antwerp in 2001, partnering Canada's Jerry Turek. In 2002 he made the quarter-finals at the Romanian Open, an ATP Tour tournament, which he played as a qualifier. He beat Željko Krajan and Irakli Labadze, before being eliminated by top seed Andrei Pavel. He played the qualifying rounds at three Grand Slam tournaments in 2003 and retired from professional tennis in 2005. Now a coach, Giner runs a tennis club in his native Cullera. Formerly part of the coaching team of Sara Errani, he has also coached David Sánchez and Andrea Arnaboldi. """<|im_end|>
<|im_start|>assistant
| Juan Giner
Juan Giner (born 28 July 1978) is a former professional tennis player from Spain. Biography
Giner, son of Juan and Maria-Dolores, was born in Cullera, a town 40 km from Valencia. He began playing tennis aged 10 and trained with other juniors including Marat Safin in Valencia. His best performance as a junior came at the 1996 Orange Bowl where he made the quarter-finals. In the late 1990s he started competing professionally and in his early satellite career had wins over Juan Carlos Ferrero, Gastón Gaudio and a young Rafael Nadal, who he beat twice in a week at a Spanish tournament in 2001. At Challenger level he won one title, the doubles at Antwerp in 2001, partnering Canada's Jerry Turek. In 2002 he made the quarter-finals at the Romanian Open, an ATP Tour tournament, which he played as a qualifier. He beat Željko Krajan and Irakli Labadze, before being eliminated by top seed Andrei Pavel. He played the qualifying rounds at three Grand Slam tournaments in 2003 and retired from professional tennis in 2005. Now a coach, Giner runs a tennis club in his native Cullera. Formerly part of the coaching team of Sara Errani, he has also coached David Sánchez and Andrea Arnaboldi. | [
{
"from": "human",
"value": "Text: Juan Giner\n\nJuan Giner (born 28 July 1978) is a former professional tennis player from Spain. Biography\nGiner, son of Juan and Maria-Dolores, was born in Cullera, a town 40 km from Valencia. He began playing tennis aged 10 and trained with other juniors including Marat Safin in Valencia. His best performance as a junior came at the 1996 Orange Bowl where he made the quarter-finals. In the late 1990s he started competing professionally and in his early satellite career had wins over Juan Carlos Ferrero, Gastón Gaudio and a young Rafael Nadal, who he beat twice in a week at a Spanish tournament in 2001. At Challenger level he won one title, the doubles at Antwerp in 2001, partnering Canada's Jerry Turek. In 2002 he made the quarter-finals at the Romanian Open, an ATP Tour tournament, which he played as a qualifier. He beat Željko Krajan and Irakli Labadze, before being eliminated by top seed Andrei Pavel. He played the qualifying rounds at three Grand Slam tournaments in 2003 and retired from professional tennis in 2005. Now a coach, Giner runs a tennis club in his native Cullera. Formerly part of the coaching team of Sara Errani, he has also coached David Sánchez and Andrea Arnaboldi."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes Location in the text?"
},
{
"from": "gpt",
"value": "[\"Spain\", \"Cullera\", \"Valencia\", \"Canada\", \"Antwerp\"]"
},
{
"from": "human",
"value": "What describes Person in the text?"
},
{
"from": "gpt",
"value": "[\"Juan Giner\", \"Marat Safin\", \"Juan Carlos Ferrero\", \"Gast\\u00f3n Gaudio\", \"Rafael Nadal\", \"Jerry Turek\", \"\\u017deljko Krajan\", \"Irakli Labadze\", \"Andrei Pavel\", \"Sara Errani\", \"David S\\u00e1nchez\", \"Andrea Arnaboldi\"]"
},
{
"from": "human",
"value": "What describes Event in the text?"
},
{
"from": "gpt",
"value": "[\"Orange Bowl\", \"Romanian Open\", \"Grand Slam\"]"
},
{
"from": "human",
"value": "What describes concept in the text?"
},
{
"from": "gpt",
"value": "[]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Conducting business in China. Chinese culture is governed by an ancient set of values. Despite the gradual infiltration of Western culture, these historical practices remain highly visible in all interactions between Chinese people. For Western companies to set up and maintain viable businesses in China, it is essential that they have an understanding of Chinese heritage. This article identifies key elements of Chinese customs and business practices and explains their significance. """<|im_end|>
<|im_start|>assistant
| Conducting business in China. Chinese culture is governed by an ancient set of values. Despite the gradual infiltration of Western culture, these historical practices remain highly visible in all interactions between Chinese people. For Western companies to set up and maintain viable businesses in China, it is essential that they have an understanding of Chinese heritage. This article identifies key elements of Chinese customs and business practices and explains their significance. | [
{
"from": "human",
"value": "Text: Conducting business in China. Chinese culture is governed by an ancient set of values. Despite the gradual infiltration of Western culture, these historical practices remain highly visible in all interactions between Chinese people. For Western companies to set up and maintain viable businesses in China, it is essential that they have an understanding of Chinese heritage. This article identifies key elements of Chinese customs and business practices and explains their significance."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes Companies in the text?"
},
{
"from": "gpt",
"value": "[\"Western companies\"]"
},
{
"from": "human",
"value": "What describes Culture in the text?"
},
{
"from": "gpt",
"value": "[\"Chinese\", \"Western\"]"
},
{
"from": "human",
"value": "What describes Country in the text?"
},
{
"from": "gpt",
"value": "[\"China\"]"
},
{
"from": "human",
"value": "What describes People in the text?"
},
{
"from": "gpt",
"value": "[\"Chinese people\"]"
},
{
"from": "human",
"value": "What describes Nationality in the text?"
},
{
"from": "gpt",
"value": "[\"Chinese\", \"Western\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" The Pentagon has quietly ordered fresh deployments of Special Operations troops to the Middle East and North Africa as the US intensifies its military engagement in Yemen, according to a report. The moves signal that the US military appears to be launching a more aggressive campaign against al-Qaeda in Yemen, as well as Daesh in Syria and some regions of North Africa, ABC News reported, citing former and current military officials. Late in January, the US military carried out the first known ground raid in Yemen in two years, which was followed by an unprecedented series of airstrikes this week. That January 29 raid in al-Bayda province did not go smoothly. One Navy SEAL was killed and, according to local residents, as many as 25 civilians lost their lives. A military aircraft worth $75 million was also destroyed after it crash-landed at the operation site. Read more
A veteran of 20 years of secret military operations said the administration of President Donald Trump has broadened the authority for more such operations overseas. "Authorities have changed in special operations' favor with the new administration," he told ABC News. "We're doing work on the bad guys." """<|im_end|>
<|im_start|>assistant
| The Pentagon has quietly ordered fresh deployments of Special Operations troops to the Middle East and North Africa as the US intensifies its military engagement in Yemen, according to a report. The moves signal that the US military appears to be launching a more aggressive campaign against al-Qaeda in Yemen, as well as Daesh in Syria and some regions of North Africa, ABC News reported, citing former and current military officials. Late in January, the US military carried out the first known ground raid in Yemen in two years, which was followed by an unprecedented series of airstrikes this week. That January 29 raid in al-Bayda province did not go smoothly. One Navy SEAL was killed and, according to local residents, as many as 25 civilians lost their lives. A military aircraft worth $75 million was also destroyed after it crash-landed at the operation site. Read more
A veteran of 20 years of secret military operations said the administration of President Donald Trump has broadened the authority for more such operations overseas. "Authorities have changed in special operations' favor with the new administration," he told ABC News. "We're doing work on the bad guys." | [
{
"from": "human",
"value": "Text: The Pentagon has quietly ordered fresh deployments of Special Operations troops to the Middle East and North Africa as the US intensifies its military engagement in Yemen, according to a report. The moves signal that the US military appears to be launching a more aggressive campaign against al-Qaeda in Yemen, as well as Daesh in Syria and some regions of North Africa, ABC News reported, citing former and current military officials. Late in January, the US military carried out the first known ground raid in Yemen in two years, which was followed by an unprecedented series of airstrikes this week. That January 29 raid in al-Bayda province did not go smoothly. One Navy SEAL was killed and, according to local residents, as many as 25 civilians lost their lives. A military aircraft worth $75 million was also destroyed after it crash-landed at the operation site. Read more\n\nA veteran of 20 years of secret military operations said the administration of President Donald Trump has broadened the authority for more such operations overseas. \"Authorities have changed in special operations' favor with the new administration,\" he told ABC News. \"We're doing work on the bad guys.\""
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes Money in the text?"
},
{
"from": "gpt",
"value": "[\"$75 million\"]"
},
{
"from": "human",
"value": "What describes Organization in the text?"
},
{
"from": "gpt",
"value": "[\"The Pentagon\", \"Special Operations troops\", \"US\", \"al-Qaeda\", \"Daesh\", \"ABC News\"]"
},
{
"from": "human",
"value": "What describes Person in the text?"
},
{
"from": "gpt",
"value": "[\"Navy SEAL\", \"local residents\", \"Donald Trump\"]"
},
{
"from": "human",
"value": "What describes Location in the text?"
},
{
"from": "gpt",
"value": "[\"Middle East\", \"North Africa\", \"Yemen\", \"Syria\", \"al-Bayda province\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Nothing frustrates me more than watching a perfectly good scene be ambushed by an unnecessary walk-on. We are all familiar with the scene where a couple is out to dinner at a restaurant and then the zany waiter ambushes the scene and the scene ends up becoming all about the zany waiter and has nothing to do with the relationship of the couple. And we’ve all watched those “walk-on happy” groups that give no time or room for a scene to develop. Walk-ons done right are a thing of beauty, like ballet. They should be there to support what’s happening on stage, not distract from it. In the wrong hands, they are a cluster fuck and do more harm than good. I think walk-ons are overused, and I know my outlook on this subject is definitely old school, but in my opinion, a walk-on or tag out is not a good substitute for good scene work. Today, I want to give you five very simple questions to ask yourself to help determine if a scene needs a walk-on. 1. Do the players need an environment? This is usually easy to determine and can be of maximum service to the players in the scene. If two players come out and have no idea where they are after a few minutes, it is the perfect opportunity for a walk-on. """<|im_end|>
<|im_start|>assistant
| Nothing frustrates me more than watching a perfectly good scene be ambushed by an unnecessary walk-on. We are all familiar with the scene where a couple is out to dinner at a restaurant and then the zany waiter ambushes the scene and the scene ends up becoming all about the zany waiter and has nothing to do with the relationship of the couple. And we’ve all watched those “walk-on happy” groups that give no time or room for a scene to develop. Walk-ons done right are a thing of beauty, like ballet. They should be there to support what’s happening on stage, not distract from it. In the wrong hands, they are a cluster fuck and do more harm than good. I think walk-ons are overused, and I know my outlook on this subject is definitely old school, but in my opinion, a walk-on or tag out is not a good substitute for good scene work. Today, I want to give you five very simple questions to ask yourself to help determine if a scene needs a walk-on. 1. Do the players need an environment? This is usually easy to determine and can be of maximum service to the players in the scene. If two players come out and have no idea where they are after a few minutes, it is the perfect opportunity for a walk-on. | [
{
"from": "human",
"value": "Text: Nothing frustrates me more than watching a perfectly good scene be ambushed by an unnecessary walk-on. We are all familiar with the scene where a couple is out to dinner at a restaurant and then the zany waiter ambushes the scene and the scene ends up becoming all about the zany waiter and has nothing to do with the relationship of the couple. And we’ve all watched those “walk-on happy” groups that give no time or room for a scene to develop. Walk-ons done right are a thing of beauty, like ballet. They should be there to support what’s happening on stage, not distract from it. In the wrong hands, they are a cluster fuck and do more harm than good. I think walk-ons are overused, and I know my outlook on this subject is definitely old school, but in my opinion, a walk-on or tag out is not a good substitute for good scene work. Today, I want to give you five very simple questions to ask yourself to help determine if a scene needs a walk-on. 1. Do the players need an environment? This is usually easy to determine and can be of maximum service to the players in the scene. If two players come out and have no idea where they are after a few minutes, it is the perfect opportunity for a walk-on."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes place in the text?"
},
{
"from": "gpt",
"value": "[\"stage\"]"
},
{
"from": "human",
"value": "What describes Organization in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes organization in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes concept in the text?"
},
{
"from": "gpt",
"value": "[\"scene\", \"walk-on\", \"outlook\", \"subject\", \"tag out\", \"environment\", \"opportunity\"]"
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[\"waiter\"]"
},
{
"from": "human",
"value": "What describes group in the text?"
},
{
"from": "gpt",
"value": "[\"couple\", \"groups\", \"players\"]"
},
{
"from": "human",
"value": "What describes material in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes component in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes body_part in the text?"
},
{
"from": "gpt",
"value": "[\"hands\"]"
},
{
"from": "human",
"value": "What describes time_period in the text?"
},
{
"from": "gpt",
"value": "[\"minutes\"]"
},
{
"from": "human",
"value": "What describes color in the text?"
},
{
"from": "gpt",
"value": "[]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Sports in Juneau
Juneau-Douglas High School swimming and diving - Southeast Region Championships: The Crimson Bears host the 2004 Southeast swim and dive championships at Augustus G. Brown Swimming Pool. Preliminary heats start at 6 p.m. on Friday, and the event finals start at 3:30 p.m. on Saturday. Swimmers from across the region will compete for berths at the state meet Nov. 4-5 in Anchorage. Friday-Sunday, Nov. 5-7
Juneau Adult Hockey Association - Juneau Jamboree women's hockey tournament: Players are expected from Anchorage and the Yukon Territory for this jamboree-style event, the first women's hockey tournament in Juneau. Four games take place on Friday starting at 5:15 p.m.; eight games are on Saturday starting at 8 a.m.; and four more games take place on Sunday starting at 6:45 a.m. at Treadwell Arena in Douglas. This event requires players to register as individuals, then teams will be formed to mix locals and out-of-towners and to merge players of all skill levels onto each team. Each team will play four games over the weekend in round-robin fashion and not official champions will be named. Info: Carrie McMullen, 789-1972. """<|im_end|>
<|im_start|>assistant
| Sports in Juneau
Juneau-Douglas High School swimming and diving - Southeast Region Championships: The Crimson Bears host the 2004 Southeast swim and dive championships at Augustus G. Brown Swimming Pool. Preliminary heats start at 6 p.m. on Friday, and the event finals start at 3:30 p.m. on Saturday. Swimmers from across the region will compete for berths at the state meet Nov. 4-5 in Anchorage. Friday-Sunday, Nov. 5-7
Juneau Adult Hockey Association - Juneau Jamboree women's hockey tournament: Players are expected from Anchorage and the Yukon Territory for this jamboree-style event, the first women's hockey tournament in Juneau. Four games take place on Friday starting at 5:15 p.m.; eight games are on Saturday starting at 8 a.m.; and four more games take place on Sunday starting at 6:45 a.m. at Treadwell Arena in Douglas. This event requires players to register as individuals, then teams will be formed to mix locals and out-of-towners and to merge players of all skill levels onto each team. Each team will play four games over the weekend in round-robin fashion and not official champions will be named. Info: Carrie McMullen, 789-1972. | [
{
"from": "human",
"value": "Text: Sports in Juneau\n\n Juneau-Douglas High School swimming and diving - Southeast Region Championships: The Crimson Bears host the 2004 Southeast swim and dive championships at Augustus G. Brown Swimming Pool. Preliminary heats start at 6 p.m. on Friday, and the event finals start at 3:30 p.m. on Saturday. Swimmers from across the region will compete for berths at the state meet Nov. 4-5 in Anchorage. Friday-Sunday, Nov. 5-7\n\n Juneau Adult Hockey Association - Juneau Jamboree women's hockey tournament: Players are expected from Anchorage and the Yukon Territory for this jamboree-style event, the first women's hockey tournament in Juneau. Four games take place on Friday starting at 5:15 p.m.; eight games are on Saturday starting at 8 a.m.; and four more games take place on Sunday starting at 6:45 a.m. at Treadwell Arena in Douglas. This event requires players to register as individuals, then teams will be formed to mix locals and out-of-towners and to merge players of all skill levels onto each team. Each team will play four games over the weekend in round-robin fashion and not official champions will be named. Info: Carrie McMullen, 789-1972."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes Title in the text?"
},
{
"from": "gpt",
"value": "[\"official champions\"]"
},
{
"from": "human",
"value": "What describes Organization in the text?"
},
{
"from": "gpt",
"value": "[\"Juneau Adult Hockey Association\"]"
},
{
"from": "human",
"value": "What describes occupation in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Food in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Date in the text?"
},
{
"from": "gpt",
"value": "[\"Friday\", \"Saturday\", \"Sunday\"]"
},
{
"from": "human",
"value": "What describes Facility in the text?"
},
{
"from": "gpt",
"value": "[\"Augustus G. Brown Swimming Pool\", \"Treadwell Arena\"]"
},
{
"from": "human",
"value": "What describes money in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Athlete in the text?"
},
{
"from": "gpt",
"value": "[\"Swimmers\"]"
},
{
"from": "human",
"value": "What describes support in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Company in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes drug in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes group in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Person in the text?"
},
{
"from": "gpt",
"value": "[\"locals\", \"out-of-towners\", \"Carrie McMullen\"]"
},
{
"from": "human",
"value": "What describes Event in the text?"
},
{
"from": "gpt",
"value": "[\"Southeast Region Championships\", \"state meet\", \"Juneau Jamboree\"]"
},
{
"from": "human",
"value": "What describes Format in the text?"
},
{
"from": "gpt",
"value": "[\"round-robin\"]"
},
{
"from": "human",
"value": "What describes Location in the text?"
},
{
"from": "gpt",
"value": "[\"region\", \"Anchorage\", \"Yukon Territory\", \"Douglas\"]"
},
{
"from": "human",
"value": "What describes concept in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes School in the text?"
},
{
"from": "gpt",
"value": "[\"Juneau-Douglas High School\"]"
},
{
"from": "human",
"value": "What describes Skill in the text?"
},
{
"from": "gpt",
"value": "[\"skill levels\"]"
},
{
"from": "human",
"value": "What describes Sports Team in the text?"
},
{
"from": "gpt",
"value": "[\"Crimson Bears\"]"
},
{
"from": "human",
"value": "What describes restaurant in the text?"
},
{
"from": "gpt",
"value": "[]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" A Berlin gallery has reconstructed an exhibition of German modern art 80 years after it was staged in London by a group of collectors and dealers intending to cock a snook at the Nazi regime’s campaign against artists it saw as debauched. Thirty of the original 300 paintings, by 64 artists from Wassily Kandinsky to Oskar Kokoschka, many of whom were forced into exile and whose works had been stripped from German museums, will be reunited for the first time at the Liebermann Villa in Berlin for the exhibition London 1938: Defending “Degenerate” German Art. The gallery is the former home of the Berlin painter Max Liebermann who died in 1935. Twenty-two of Liebermann’s works were loaned to the 1938 show by his wife, Martha. The artist’s portrait of a dark-haired Albert Einstein – who was forced to flee the Nazis – forms the centrepiece of the exhibition. The 1938 show deliberately coincided with the first anniversary of the Nazis’ propaganda exhibition Entartete Kunst (Degenerate Art), in which 650 works confiscated from German museums were put on display in Munich to highlight to ordinary Germans the necessity of ridding their culture of destructive forces. The London show was hailed as the biggest international response to Nazi censorship but some critics were furious at the efforts its curators went to to present the exhibition as non-political. """<|im_end|>
<|im_start|>assistant
| A Berlin gallery has reconstructed an exhibition of German modern art 80 years after it was staged in London by a group of collectors and dealers intending to cock a snook at the Nazi regime’s campaign against artists it saw as debauched. Thirty of the original 300 paintings, by 64 artists from Wassily Kandinsky to Oskar Kokoschka, many of whom were forced into exile and whose works had been stripped from German museums, will be reunited for the first time at the Liebermann Villa in Berlin for the exhibition London 1938: Defending “Degenerate” German Art. The gallery is the former home of the Berlin painter Max Liebermann who died in 1935. Twenty-two of Liebermann’s works were loaned to the 1938 show by his wife, Martha. The artist’s portrait of a dark-haired Albert Einstein – who was forced to flee the Nazis – forms the centrepiece of the exhibition. The 1938 show deliberately coincided with the first anniversary of the Nazis’ propaganda exhibition Entartete Kunst (Degenerate Art), in which 650 works confiscated from German museums were put on display in Munich to highlight to ordinary Germans the necessity of ridding their culture of destructive forces. The London show was hailed as the biggest international response to Nazi censorship but some critics were furious at the efforts its curators went to to present the exhibition as non-political. | [
{
"from": "human",
"value": "Text: A Berlin gallery has reconstructed an exhibition of German modern art 80 years after it was staged in London by a group of collectors and dealers intending to cock a snook at the Nazi regime’s campaign against artists it saw as debauched. Thirty of the original 300 paintings, by 64 artists from Wassily Kandinsky to Oskar Kokoschka, many of whom were forced into exile and whose works had been stripped from German museums, will be reunited for the first time at the Liebermann Villa in Berlin for the exhibition London 1938: Defending “Degenerate” German Art. The gallery is the former home of the Berlin painter Max Liebermann who died in 1935. Twenty-two of Liebermann’s works were loaned to the 1938 show by his wife, Martha. The artist’s portrait of a dark-haired Albert Einstein – who was forced to flee the Nazis – forms the centrepiece of the exhibition. The 1938 show deliberately coincided with the first anniversary of the Nazis’ propaganda exhibition Entartete Kunst (Degenerate Art), in which 650 works confiscated from German museums were put on display in Munich to highlight to ordinary Germans the necessity of ridding their culture of destructive forces. The London show was hailed as the biggest international response to Nazi censorship but some critics were furious at the efforts its curators went to to present the exhibition as non-political."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes Concept in the text?"
},
{
"from": "gpt",
"value": "[\"culture\", \"destructive forces\", \"non-political\"]"
},
{
"from": "human",
"value": "What describes Event in the text?"
},
{
"from": "gpt",
"value": "[\"exhibition\", \"exile\", \"London 1938: Defending \\u201cDegenerate\\u201d German Art\", \"propaganda exhibition Entartete Kunst\"]"
},
{
"from": "human",
"value": "What describes Location in the text?"
},
{
"from": "gpt",
"value": "[\"London\", \"Liebermann Villa\", \"Berlin\", \"Munich\"]"
},
{
"from": "human",
"value": "What describes disease in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Person in the text?"
},
{
"from": "gpt",
"value": "[\"collectors\", \"dealers\", \"artists\", \"Wassily Kandinsky\", \"Oskar Kokoschka\", \"Max Liebermann\", \"Martha\", \"Albert Einstein\", \"ordinary Germans\", \"curators\"]"
},
{
"from": "human",
"value": "What describes File Format in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Art in the text?"
},
{
"from": "gpt",
"value": "[\"German modern art\"]"
},
{
"from": "human",
"value": "What describes Organization in the text?"
},
{
"from": "gpt",
"value": "[\"Berlin gallery\", \"Nazi regime\", \"German museums\", \"Nazis\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" William T. Jarvis
William Tyler Jarvis (October 19, 1935 – March 1, 2016), best known as William T. Jarvis was an American health educator and skeptic. Career
Jarvis graduated from University of Minnesota, University of Minnesota Duluth and Kent State University. In 1973, he obtained a Ph.D in health education from the University of Oregon. He was professor of preventive medicine at Loma Linda University. In 1976, Jarvis cofounded the National Council Against Health Fraud and was president from 1977 until his retirement in 2000. He was an adviser to the American Council on Science and Health. He was a noted critic of alternative medicine and was known for exposing quackery. He described chiropractic as "the most significant nonscientific health-care delivery system in the United States." Jarvis was a scientific consultant for the Committee for Skeptical Inquiry and a charter member of the Council for Scientific Medicine. Publications
Quackery and You (1983)
Food: Facts and Fallacies from A-Z (1985)
The Health Robbers: A Close Look at Quackery in America (1993) [with Stephen Barrett]
Consumer Health: A Guide to Intelligent Decisions with PowerWeb: Health and Human Performance (2001) [with Stephen Barrett]
References
External links
"Why I am Not a Vegetarian". Quackwatch. """<|im_end|>
<|im_start|>assistant
| William T. Jarvis
William Tyler Jarvis (October 19, 1935 – March 1, 2016), best known as William T. Jarvis was an American health educator and skeptic. Career
Jarvis graduated from University of Minnesota, University of Minnesota Duluth and Kent State University. In 1973, he obtained a Ph.D in health education from the University of Oregon. He was professor of preventive medicine at Loma Linda University. In 1976, Jarvis cofounded the National Council Against Health Fraud and was president from 1977 until his retirement in 2000. He was an adviser to the American Council on Science and Health. He was a noted critic of alternative medicine and was known for exposing quackery. He described chiropractic as "the most significant nonscientific health-care delivery system in the United States." Jarvis was a scientific consultant for the Committee for Skeptical Inquiry and a charter member of the Council for Scientific Medicine. Publications
Quackery and You (1983)
Food: Facts and Fallacies from A-Z (1985)
The Health Robbers: A Close Look at Quackery in America (1993) [with Stephen Barrett]
Consumer Health: A Guide to Intelligent Decisions with PowerWeb: Health and Human Performance (2001) [with Stephen Barrett]
References
External links
"Why I am Not a Vegetarian". Quackwatch. | [
{
"from": "human",
"value": "Text: William T. Jarvis\n\nWilliam Tyler Jarvis (October 19, 1935 – March 1, 2016), best known as William T. Jarvis was an American health educator and skeptic. Career\n\nJarvis graduated from University of Minnesota, University of Minnesota Duluth and Kent State University. In 1973, he obtained a Ph.D in health education from the University of Oregon. He was professor of preventive medicine at Loma Linda University. In 1976, Jarvis cofounded the National Council Against Health Fraud and was president from 1977 until his retirement in 2000. He was an adviser to the American Council on Science and Health. He was a noted critic of alternative medicine and was known for exposing quackery. He described chiropractic as \"the most significant nonscientific health-care delivery system in the United States.\" Jarvis was a scientific consultant for the Committee for Skeptical Inquiry and a charter member of the Council for Scientific Medicine. Publications\n\nQuackery and You (1983)\nFood: Facts and Fallacies from A-Z (1985)\nThe Health Robbers: A Close Look at Quackery in America (1993) [with Stephen Barrett]\nConsumer Health: A Guide to Intelligent Decisions with PowerWeb: Health and Human Performance (2001) [with Stephen Barrett]\n\nReferences\n\nExternal links\n\n\"Why I am Not a Vegetarian\". Quackwatch."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes NORP in the text?"
},
{
"from": "gpt",
"value": "[\"American\", \"chiropractic\"]"
},
{
"from": "human",
"value": "What describes WORK_OF_ART in the text?"
},
{
"from": "gpt",
"value": "[\"Quackery and You\", \"Food: Facts and Fallacies from A-Z\", \"The Health Robbers: A Close Look at Quackery in America\", \"Consumer Health: A Guide to Intelligent Decisions with PowerWeb: Health and Human Performance\"]"
},
{
"from": "human",
"value": "What describes ORG in the text?"
},
{
"from": "gpt",
"value": "[\"University of Minnesota\", \"University of Minnesota Duluth\", \"Kent State University\", \"Ph.D\", \"University of Oregon\", \"Loma Linda University\", \"National Council Against Health Fraud\", \"American Council on Science and Health\", \"Committee for Skeptical Inquiry\", \"Council for Scientific Medicine\", \"Quackwatch\"]"
},
{
"from": "human",
"value": "What describes PERSON in the text?"
},
{
"from": "gpt",
"value": "[\"William Tyler Jarvis\", \"William T. Jarvis\", \"Stephen Barrett\"]"
},
{
"from": "human",
"value": "What describes brand in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes GPE in the text?"
},
{
"from": "gpt",
"value": "[\"United States\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" With your help, Sky City can cover so much more! Any donations will be greatly appreciated. """<|im_end|>
<|im_start|>assistant
| With your help, Sky City can cover so much more! Any donations will be greatly appreciated. | [
{
"from": "human",
"value": "Text: With your help, Sky City can cover so much more! Any donations will be greatly appreciated."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes organization in the text?"
},
{
"from": "gpt",
"value": "[\"Sky City\"]"
},
{
"from": "human",
"value": "What describes dimension in the text?"
},
{
"from": "gpt",
"value": "[]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Quality pays--in every business! For the past few years, blood banks within and outside of hospitals have been required to develop a documented quality assurance/quality improvement program to comply with regulator guidelines and accreditation standards. Concerns have been raised that the cost of compliance could exceed any plausible return on this investment. Unfortunately, little data exist in blood bank literature or are currently being captured to support or refute this contention. This article describes an approach for capturing the cost of quality based on models from the manufacturing industry, suggests how blood banks could document the cost and benefit of their quality efforts and presents some unpublished data on the impact of tracking the cost of poor quality in one blood bank. """<|im_end|>
<|im_start|>assistant
| Quality pays--in every business! For the past few years, blood banks within and outside of hospitals have been required to develop a documented quality assurance/quality improvement program to comply with regulator guidelines and accreditation standards. Concerns have been raised that the cost of compliance could exceed any plausible return on this investment. Unfortunately, little data exist in blood bank literature or are currently being captured to support or refute this contention. This article describes an approach for capturing the cost of quality based on models from the manufacturing industry, suggests how blood banks could document the cost and benefit of their quality efforts and presents some unpublished data on the impact of tracking the cost of poor quality in one blood bank. | [
{
"from": "human",
"value": "Text: Quality pays--in every business! For the past few years, blood banks within and outside of hospitals have been required to develop a documented quality assurance/quality improvement program to comply with regulator guidelines and accreditation standards. Concerns have been raised that the cost of compliance could exceed any plausible return on this investment. Unfortunately, little data exist in blood bank literature or are currently being captured to support or refute this contention. This article describes an approach for capturing the cost of quality based on models from the manufacturing industry, suggests how blood banks could document the cost and benefit of their quality efforts and presents some unpublished data on the impact of tracking the cost of poor quality in one blood bank."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes concept in the text?"
},
{
"from": "gpt",
"value": "[\"regulator guidelines\", \"accreditation standards\", \"cost of compliance\", \"investment\", \"data\", \"blood bank literature\", \"approach\", \"models\", \"manufacturing industry\", \"benefit\", \"poor quality\"]"
},
{
"from": "human",
"value": "What describes organization in the text?"
},
{
"from": "gpt",
"value": "[\"blood banks\", \"hospitals\", \"one blood bank\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" The present application relates to a system and method of managing absenteeism in an organization. The present invention may be implemented by a traditional health insurance plan operator for its members or may be implemented by another party with an interest in reducing absenteeism in an organization. The method and system will be described with reference to employees in a workplace although it will be appreciated that the method and system could equally be applied to people in other organizations. Typically, employees in a workplace are given, for a predetermined period, a number of days of vacation leave which are used for their own personal benefit, a number of days of sick leave which are to be used when the employee is sick and possibly a number of days of family responsibility leave which can be used to attend to family responsibilities. It is the sick leave which requires particular attention as although an employee is allowed a number of days of sick leave for a given period, having the employee sick and not in the office is not beneficial for the employer. The problem is compounded for employers of a large number of employees where absenteeism costs the employer a significant loss of productivity. A method of addressing this is therefore required. """<|im_end|>
<|im_start|>assistant
| The present application relates to a system and method of managing absenteeism in an organization. The present invention may be implemented by a traditional health insurance plan operator for its members or may be implemented by another party with an interest in reducing absenteeism in an organization. The method and system will be described with reference to employees in a workplace although it will be appreciated that the method and system could equally be applied to people in other organizations. Typically, employees in a workplace are given, for a predetermined period, a number of days of vacation leave which are used for their own personal benefit, a number of days of sick leave which are to be used when the employee is sick and possibly a number of days of family responsibility leave which can be used to attend to family responsibilities. It is the sick leave which requires particular attention as although an employee is allowed a number of days of sick leave for a given period, having the employee sick and not in the office is not beneficial for the employer. The problem is compounded for employers of a large number of employees where absenteeism costs the employer a significant loss of productivity. A method of addressing this is therefore required. | [
{
"from": "human",
"value": "Text: The present application relates to a system and method of managing absenteeism in an organization. The present invention may be implemented by a traditional health insurance plan operator for its members or may be implemented by another party with an interest in reducing absenteeism in an organization. The method and system will be described with reference to employees in a workplace although it will be appreciated that the method and system could equally be applied to people in other organizations. Typically, employees in a workplace are given, for a predetermined period, a number of days of vacation leave which are used for their own personal benefit, a number of days of sick leave which are to be used when the employee is sick and possibly a number of days of family responsibility leave which can be used to attend to family responsibilities. It is the sick leave which requires particular attention as although an employee is allowed a number of days of sick leave for a given period, having the employee sick and not in the office is not beneficial for the employer. The problem is compounded for employers of a large number of employees where absenteeism costs the employer a significant loss of productivity. A method of addressing this is therefore required."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes medical procedure in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes NORP in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[\"employee\", \"employer\"]"
},
{
"from": "human",
"value": "What describes quantity in the text?"
},
{
"from": "gpt",
"value": "[\"large number\"]"
},
{
"from": "human",
"value": "What describes chart type in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes system in the text?"
},
{
"from": "gpt",
"value": "[\"present application\", \"method\", \"present invention\"]"
},
{
"from": "human",
"value": "What describes concept in the text?"
},
{
"from": "gpt",
"value": "[\"absenteeism\", \"interest\", \"vacation leave\", \"personal benefit\", \"sick leave\", \"family responsibility leave\", \"family responsibilities\", \"problem\", \"productivity\"]"
},
{
"from": "human",
"value": "What describes book in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes group in the text?"
},
{
"from": "gpt",
"value": "[\"members\", \"employees\", \"people\", \"employers\"]"
},
{
"from": "human",
"value": "What describes profession in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes organization in the text?"
},
{
"from": "gpt",
"value": "[\"health insurance plan operator\", \"party\", \"workplace\", \"organizations\"]"
},
{
"from": "human",
"value": "What describes setting in the text?"
},
{
"from": "gpt",
"value": "[]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" take a rain check
take a rain check
To refuse an offer or invitation but with the hope or promise that it can be postponed to a later date or time. I'm sorry, but I'll have to take a rain check for dinner this Saturday. Would next weekend work for you? All content on this website, including dictionary, thesaurus, literature, geography, and other reference data is for informational purposes only. This information should not be considered complete, up to date, and is not intended to be used in place of a visit, consultation, or advice of a legal, medical, or any other professional. """<|im_end|>
<|im_start|>assistant
| take a rain check
take a rain check
To refuse an offer or invitation but with the hope or promise that it can be postponed to a later date or time. I'm sorry, but I'll have to take a rain check for dinner this Saturday. Would next weekend work for you? All content on this website, including dictionary, thesaurus, literature, geography, and other reference data is for informational purposes only. This information should not be considered complete, up to date, and is not intended to be used in place of a visit, consultation, or advice of a legal, medical, or any other professional. | [
{
"from": "human",
"value": "Text: take a rain check\n\ntake a rain check\n\nTo refuse an offer or invitation but with the hope or promise that it can be postponed to a later date or time. I'm sorry, but I'll have to take a rain check for dinner this Saturday. Would next weekend work for you? All content on this website, including dictionary, thesaurus, literature, geography, and other reference data is for informational purposes only. This information should not be considered complete, up to date, and is not intended to be used in place of a visit, consultation, or advice of a legal, medical, or any other professional."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes noun in the text?"
},
{
"from": "gpt",
"value": "[\"rain check\", \"dinner\", \"Saturday\", \"weekend\"]"
},
{
"from": "human",
"value": "What describes Restaurant in the text?"
},
{
"from": "gpt",
"value": "[]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" BELLAVISTA
The modular and modern Bellavista sofa by designed by Frighetto Lab achieves a harmony of clean lines and functionality. It suits your moods and your movements, whether watching TV, reading or socializing. Bellavista’s modular units combine to make the most of any space. """<|im_end|>
<|im_start|>assistant
| BELLAVISTA
The modular and modern Bellavista sofa by designed by Frighetto Lab achieves a harmony of clean lines and functionality. It suits your moods and your movements, whether watching TV, reading or socializing. Bellavista’s modular units combine to make the most of any space. | [
{
"from": "human",
"value": "Text: BELLAVISTA\n\nThe modular and modern Bellavista sofa by designed by Frighetto Lab achieves a harmony of clean lines and functionality. It suits your moods and your movements, whether watching TV, reading or socializing. Bellavista’s modular units combine to make the most of any space."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes Brand in the text?"
},
{
"from": "gpt",
"value": "[\"Frighetto Lab\"]"
},
{
"from": "human",
"value": "What describes Product in the text?"
},
{
"from": "gpt",
"value": "[\"Bellavista\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Retreating from life after a tragedy, a man questions the universe by writing to Love, Time and Death. Receiving unexpected answers, he begins to see how these things interlock and how even loss can reveal moments of meaning and beauty. """<|im_end|>
<|im_start|>assistant
| Retreating from life after a tragedy, a man questions the universe by writing to Love, Time and Death. Receiving unexpected answers, he begins to see how these things interlock and how even loss can reveal moments of meaning and beauty. | [
{
"from": "human",
"value": "Text: Retreating from life after a tragedy, a man questions the universe by writing to Love, Time and Death. Receiving unexpected answers, he begins to see how these things interlock and how even loss can reveal moments of meaning and beauty."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[\"man\"]"
},
{
"from": "human",
"value": "What describes concept in the text?"
},
{
"from": "gpt",
"value": "[\"Love\", \"Time\", \"Death\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" End-of-the-year review 2014
MD-80.com is pleased offer a review of the events taken place in 2014 in the world of MD-80s, MD-90s, MD-95s, and DC-9s. I'll take a Christmas break. However, important
news will posted on Twitter and Facebook automatically. Thank you! Alitalia no longer uses the MD-80 but this photo shows the elegance and beauty of the aircraft in a perfect way/Courtesy: Alitalia
I wish you all a Merry Christmas and a Happy New Year with health, luck, and happiness! Peace and no violence - we have enough of it on a daily basis. My idea: Let us come together and sing this
song for hours and hours -> """<|im_end|>
<|im_start|>assistant
| End-of-the-year review 2014
MD-80.com is pleased offer a review of the events taken place in 2014 in the world of MD-80s, MD-90s, MD-95s, and DC-9s. I'll take a Christmas break. However, important
news will posted on Twitter and Facebook automatically. Thank you! Alitalia no longer uses the MD-80 but this photo shows the elegance and beauty of the aircraft in a perfect way/Courtesy: Alitalia
I wish you all a Merry Christmas and a Happy New Year with health, luck, and happiness! Peace and no violence - we have enough of it on a daily basis. My idea: Let us come together and sing this
song for hours and hours -> | [
{
"from": "human",
"value": "Text: End-of-the-year review 2014\n\nMD-80.com is pleased offer a review of the events taken place in 2014 in the world of MD-80s, MD-90s, MD-95s, and DC-9s. I'll take a Christmas break. However, important\nnews will posted on Twitter and Facebook automatically. Thank you! Alitalia no longer uses the MD-80 but this photo shows the elegance and beauty of the aircraft in a perfect way/Courtesy: Alitalia\n\nI wish you all a Merry Christmas and a Happy New Year with health, luck, and happiness! Peace and no violence - we have enough of it on a daily basis. My idea: Let us come together and sing this\nsong for hours and hours ->"
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes product in the text?"
},
{
"from": "gpt",
"value": "[\"MD-80s\", \"MD-90s\", \"MD-95s\", \"DC-9s\", \"MD-80\"]"
},
{
"from": "human",
"value": "What describes Hardware in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes organization in the text?"
},
{
"from": "gpt",
"value": "[\"MD-80.com\", \"Twitter\", \"Facebook\", \"Alitalia\"]"
},
{
"from": "human",
"value": "What describes event in the text?"
},
{
"from": "gpt",
"value": "[\"Merry Christmas\", \"Happy New Year\"]"
},
{
"from": "human",
"value": "What describes date in the text?"
},
{
"from": "gpt",
"value": "[\"2014\", \"Christmas\"]"
},
{
"from": "human",
"value": "What describes concept in the text?"
},
{
"from": "gpt",
"value": "[]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Lakeview Harbor
, after a nearly quarter century on Harrison Avenue, might soon move out of Lakeview. The eatery's lease will not be renewed when it ends on Jan. 31. The news was announced on the restaurant's
Facebook page
. The neighborhood restaurant, known for its hamburgers topped with shredded cheese in the
style first created at Port of Call
, has not found a new location. It hopes to remain in Lakeview. "Lakeview is our home and we are committed to doing everything we can to stay here," read the announcement. "We promise the food you love will continue to be our passion and the place where we all gather will live on." """<|im_end|>
<|im_start|>assistant
| Lakeview Harbor
, after a nearly quarter century on Harrison Avenue, might soon move out of Lakeview. The eatery's lease will not be renewed when it ends on Jan. 31. The news was announced on the restaurant's
Facebook page
. The neighborhood restaurant, known for its hamburgers topped with shredded cheese in the
style first created at Port of Call
, has not found a new location. It hopes to remain in Lakeview. "Lakeview is our home and we are committed to doing everything we can to stay here," read the announcement. "We promise the food you love will continue to be our passion and the place where we all gather will live on." | [
{
"from": "human",
"value": "Text: Lakeview Harbor\n, after a nearly quarter century on Harrison Avenue, might soon move out of Lakeview. The eatery's lease will not be renewed when it ends on Jan. 31. The news was announced on the restaurant's\nFacebook page\n. The neighborhood restaurant, known for its hamburgers topped with shredded cheese in the\nstyle first created at Port of Call\n, has not found a new location. It hopes to remain in Lakeview. \"Lakeview is our home and we are committed to doing everything we can to stay here,\" read the announcement. \"We promise the food you love will continue to be our passion and the place where we all gather will live on.\""
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes medical condition in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes location in the text?"
},
{
"from": "gpt",
"value": "[\"Harrison Avenue\", \"Lakeview\"]"
},
{
"from": "human",
"value": "What describes website in the text?"
},
{
"from": "gpt",
"value": "[\"Facebook\"]"
},
{
"from": "human",
"value": "What describes date in the text?"
},
{
"from": "gpt",
"value": "[\"Jan. 31\"]"
},
{
"from": "human",
"value": "What describes restaurant in the text?"
},
{
"from": "gpt",
"value": "[\"Lakeview Harbor\", \"Port of Call\"]"
},
{
"from": "human",
"value": "What describes promoter in the text?"
},
{
"from": "gpt",
"value": "[]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Vincent Castiglia
Vincent Castiglia (born April 8, 1982 in Brooklyn, New York) is an American painter. He paints figurative paintings with metaphysical and often nightmarish subject matters, exclusively in human blood (iron oxide) on paper. Work
Castiglia's paintings are monochromatic tableaux examining life, death, and the human condition. Dominant work themes include the symbiosis of birth and death, the transience of human beings, and the pitfalls of mortality. The images themselves, as he sees them, form as crystallizations of Castiglia's experiences, freed from the psyche. Through his work the viewer is forced into a re-acquaintance with life and urgency that might not otherwise take place. While many surrealists cite fantasy or dreams as their inspiration, Castiglia's Visionary art is connected to a life story which is highly allegorical. Castiglia is the first American artist to receive a solo exhibition invitation from Oscar Award-winning artist, H.R. Giger, to exhibit at the H.R. Giger Museum, in Gruyeres, Switzerland. Remedy for the Living, the 1st solo exhibition of paintings by Vincent Castiglia opened at the H.R. Giger Museum Gallery on November 1, 2008, and closed in April 2009. Castiglia's works on paper have been exhibited internationally and hang in many distinguished collections. """<|im_end|>
<|im_start|>assistant
| Vincent Castiglia
Vincent Castiglia (born April 8, 1982 in Brooklyn, New York) is an American painter. He paints figurative paintings with metaphysical and often nightmarish subject matters, exclusively in human blood (iron oxide) on paper. Work
Castiglia's paintings are monochromatic tableaux examining life, death, and the human condition. Dominant work themes include the symbiosis of birth and death, the transience of human beings, and the pitfalls of mortality. The images themselves, as he sees them, form as crystallizations of Castiglia's experiences, freed from the psyche. Through his work the viewer is forced into a re-acquaintance with life and urgency that might not otherwise take place. While many surrealists cite fantasy or dreams as their inspiration, Castiglia's Visionary art is connected to a life story which is highly allegorical. Castiglia is the first American artist to receive a solo exhibition invitation from Oscar Award-winning artist, H.R. Giger, to exhibit at the H.R. Giger Museum, in Gruyeres, Switzerland. Remedy for the Living, the 1st solo exhibition of paintings by Vincent Castiglia opened at the H.R. Giger Museum Gallery on November 1, 2008, and closed in April 2009. Castiglia's works on paper have been exhibited internationally and hang in many distinguished collections. | [
{
"from": "human",
"value": "Text: Vincent Castiglia\n\nVincent Castiglia (born April 8, 1982 in Brooklyn, New York) is an American painter. He paints figurative paintings with metaphysical and often nightmarish subject matters, exclusively in human blood (iron oxide) on paper. Work\nCastiglia's paintings are monochromatic tableaux examining life, death, and the human condition. Dominant work themes include the symbiosis of birth and death, the transience of human beings, and the pitfalls of mortality. The images themselves, as he sees them, form as crystallizations of Castiglia's experiences, freed from the psyche. Through his work the viewer is forced into a re-acquaintance with life and urgency that might not otherwise take place. While many surrealists cite fantasy or dreams as their inspiration, Castiglia's Visionary art is connected to a life story which is highly allegorical. Castiglia is the first American artist to receive a solo exhibition invitation from Oscar Award-winning artist, H.R. Giger, to exhibit at the H.R. Giger Museum, in Gruyeres, Switzerland. Remedy for the Living, the 1st solo exhibition of paintings by Vincent Castiglia opened at the H.R. Giger Museum Gallery on November 1, 2008, and closed in April 2009. Castiglia's works on paper have been exhibited internationally and hang in many distinguished collections."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes Material in the text?"
},
{
"from": "gpt",
"value": "[\"human blood\", \"iron oxide\"]"
},
{
"from": "human",
"value": "What describes Artistic Style in the text?"
},
{
"from": "gpt",
"value": "[\"Visionary art\"]"
},
{
"from": "human",
"value": "What describes age in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Person in the text?"
},
{
"from": "gpt",
"value": "[\"Vincent Castiglia\", \"H.R. Giger\"]"
},
{
"from": "human",
"value": "What describes Artwork in the text?"
},
{
"from": "gpt",
"value": "[\"Remedy for the Living\", \"paintings\"]"
},
{
"from": "human",
"value": "What describes Occupation in the text?"
},
{
"from": "gpt",
"value": "[\"painter\", \"surrealists\", \"American artist\", \"Oscar Award-winning artist\"]"
},
{
"from": "human",
"value": "What describes Nationality in the text?"
},
{
"from": "gpt",
"value": "[\"American\"]"
},
{
"from": "human",
"value": "What describes Concept in the text?"
},
{
"from": "gpt",
"value": "[\"life\", \"death\", \"human condition\", \"birth\", \"mortality\", \"fantasy\", \"dreams\", \"allegorical\"]"
},
{
"from": "human",
"value": "What describes Location in the text?"
},
{
"from": "gpt",
"value": "[\"Brooklyn\", \"New York\", \"H.R. Giger Museum\", \"Gruyeres\", \"Switzerland\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" LBX Co. LLC, the maker of Link-Belt excavators, material handlers and forestry equipment, on starting construction on its $10 million-plus customer experience and training center in Lexington, Kentucky. The facility will supplement its current headquarters. The new facility on 25 acres on Remington Way in the Citation Business Park will be dedicated to customer experience programs, including dealer training, product demonstrations and customer events. It will also house the company’s engineering staff and training operations for current and new employees. Additionally, plans include space to test new machine designs, concepts and features. LBX executives plan to complete the project by March 2019. The facility will be the company’s second in Lexington as LBX leaders plan to maintain their current headquarters and distribution center on Buck Lane. “The LBX Customer Experience Center is the next logical step to serving our dealers and customers better,” said Eric Sauvage, President & CEO, LBX Company LLC. “We look forward to welcoming guests to the facility. It’s an exciting and important next step to prepare LBX for future growth.”
Link-Belt began manufacturing excavators in Lexington in 1975, at that time in tandem with the company’s crane manufacturing operations. Link-Belt spun off LBX in 1998 as an independent company. Since then, LBX has grown from 15 employees to nearly 100. """<|im_end|>
<|im_start|>assistant
| LBX Co. LLC, the maker of Link-Belt excavators, material handlers and forestry equipment, on starting construction on its $10 million-plus customer experience and training center in Lexington, Kentucky. The facility will supplement its current headquarters. The new facility on 25 acres on Remington Way in the Citation Business Park will be dedicated to customer experience programs, including dealer training, product demonstrations and customer events. It will also house the company’s engineering staff and training operations for current and new employees. Additionally, plans include space to test new machine designs, concepts and features. LBX executives plan to complete the project by March 2019. The facility will be the company’s second in Lexington as LBX leaders plan to maintain their current headquarters and distribution center on Buck Lane. “The LBX Customer Experience Center is the next logical step to serving our dealers and customers better,” said Eric Sauvage, President & CEO, LBX Company LLC. “We look forward to welcoming guests to the facility. It’s an exciting and important next step to prepare LBX for future growth.”
Link-Belt began manufacturing excavators in Lexington in 1975, at that time in tandem with the company’s crane manufacturing operations. Link-Belt spun off LBX in 1998 as an independent company. Since then, LBX has grown from 15 employees to nearly 100. | [
{
"from": "human",
"value": "Text: LBX Co. LLC, the maker of Link-Belt excavators, material handlers and forestry equipment, on starting construction on its $10 million-plus customer experience and training center in Lexington, Kentucky. The facility will supplement its current headquarters. The new facility on 25 acres on Remington Way in the Citation Business Park will be dedicated to customer experience programs, including dealer training, product demonstrations and customer events. It will also house the company’s engineering staff and training operations for current and new employees. Additionally, plans include space to test new machine designs, concepts and features. LBX executives plan to complete the project by March 2019. The facility will be the company’s second in Lexington as LBX leaders plan to maintain their current headquarters and distribution center on Buck Lane. “The LBX Customer Experience Center is the next logical step to serving our dealers and customers better,” said Eric Sauvage, President & CEO, LBX Company LLC. “We look forward to welcoming guests to the facility. It’s an exciting and important next step to prepare LBX for future growth.”\n\nLink-Belt began manufacturing excavators in Lexington in 1975, at that time in tandem with the company’s crane manufacturing operations. Link-Belt spun off LBX in 1998 as an independent company. Since then, LBX has grown from 15 employees to nearly 100."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes anatomical_structure in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Date in the text?"
},
{
"from": "gpt",
"value": "[\"March 2019\"]"
},
{
"from": "human",
"value": "What describes Job Title in the text?"
},
{
"from": "gpt",
"value": "[\"engineering staff\", \"LBX executives\", \"President & CEO\"]"
},
{
"from": "human",
"value": "What describes function in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Person in the text?"
},
{
"from": "gpt",
"value": "[\"Eric Sauvage\"]"
},
{
"from": "human",
"value": "What describes Location in the text?"
},
{
"from": "gpt",
"value": "[\"Lexington\", \"Kentucky\", \"Remington Way\", \"Citation Business Park\", \"Buck Lane\"]"
},
{
"from": "human",
"value": "What describes Product in the text?"
},
{
"from": "gpt",
"value": "[\"Link-Belt\", \"excavators\", \"material handlers\", \"forestry equipment\"]"
},
{
"from": "human",
"value": "What describes Organization in the text?"
},
{
"from": "gpt",
"value": "[\"LBX Co. LLC\", \"LBX Company LLC\"]"
},
{
"from": "human",
"value": "What describes group in the text?"
},
{
"from": "gpt",
"value": "[]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" As I mentioned in the session, former Red Hat CEO Bob Young was a keynote speaker at ABA TECHSHOW 2000 and, I believe, this was the first TECHSHOW session since then to focus on Open Source software. Young’s talk inspired me to write a law review article on the Open Source licenses in 2001 (“A Primer on Open Source Licensing Legal Issues: Copyright, Copyleft and the Future,” 20 St. Louis Univ. Pub. L. Rev. 345 (2001)) and put together a list of web sources on Open Source legal issues. I’ve been interested in Free and Open Source software and the philosophy behind it ever since. If you Google my name and “Open Source” you’ll find some of my writings and a couple of podcasts (e.g., this podcast). I’ve had the chance in 2011 to write one article and co-author with Gwynne Monahan another on the use of Open Source software in the practice of law. The major article is the one with Gwynne that was recently published in the March/April 2011 issue of the ABA’s Law Practice magazine. It’s called “10 Tips for Getting Started with Open Source Software” and it’s meant to be a easy and practical introduction to Open Source Software and the role it might play in law practice. """<|im_end|>
<|im_start|>assistant
| As I mentioned in the session, former Red Hat CEO Bob Young was a keynote speaker at ABA TECHSHOW 2000 and, I believe, this was the first TECHSHOW session since then to focus on Open Source software. Young’s talk inspired me to write a law review article on the Open Source licenses in 2001 (“A Primer on Open Source Licensing Legal Issues: Copyright, Copyleft and the Future,” 20 St. Louis Univ. Pub. L. Rev. 345 (2001)) and put together a list of web sources on Open Source legal issues. I’ve been interested in Free and Open Source software and the philosophy behind it ever since. If you Google my name and “Open Source” you’ll find some of my writings and a couple of podcasts (e.g., this podcast). I’ve had the chance in 2011 to write one article and co-author with Gwynne Monahan another on the use of Open Source software in the practice of law. The major article is the one with Gwynne that was recently published in the March/April 2011 issue of the ABA’s Law Practice magazine. It’s called “10 Tips for Getting Started with Open Source Software” and it’s meant to be a easy and practical introduction to Open Source Software and the role it might play in law practice. | [
{
"from": "human",
"value": "Text: As I mentioned in the session, former Red Hat CEO Bob Young was a keynote speaker at ABA TECHSHOW 2000 and, I believe, this was the first TECHSHOW session since then to focus on Open Source software. Young’s talk inspired me to write a law review article on the Open Source licenses in 2001 (“A Primer on Open Source Licensing Legal Issues: Copyright, Copyleft and the Future,” 20 St. Louis Univ. Pub. L. Rev. 345 (2001)) and put together a list of web sources on Open Source legal issues. I’ve been interested in Free and Open Source software and the philosophy behind it ever since. If you Google my name and “Open Source” you’ll find some of my writings and a couple of podcasts (e.g., this podcast). I’ve had the chance in 2011 to write one article and co-author with Gwynne Monahan another on the use of Open Source software in the practice of law. The major article is the one with Gwynne that was recently published in the March/April 2011 issue of the ABA’s Law Practice magazine. It’s called “10 Tips for Getting Started with Open Source Software” and it’s meant to be a easy and practical introduction to Open Source Software and the role it might play in law practice."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes film style in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Event in the text?"
},
{
"from": "gpt",
"value": "[\"ABA TECHSHOW 2000\"]"
},
{
"from": "human",
"value": "What describes Technology in the text?"
},
{
"from": "gpt",
"value": "[\"Open Source\", \"Free and Open Source software\"]"
},
{
"from": "human",
"value": "What describes Person in the text?"
},
{
"from": "gpt",
"value": "[\"Bob Young\", \"Gwynne Monahan\"]"
},
{
"from": "human",
"value": "What describes Organization in the text?"
},
{
"from": "gpt",
"value": "[\"Red Hat\", \"St. Louis Univ. Pub. L. Rev.\", \"Google\", \"ABA\\u2019s Law Practice magazine\"]"
},
{
"from": "human",
"value": "What describes Date in the text?"
},
{
"from": "gpt",
"value": "[\"March/April 2011\"]"
},
{
"from": "human",
"value": "What describes Other in the text?"
},
{
"from": "gpt",
"value": "[\"10 Tips for Getting Started with Open Source Software\"]"
},
{
"from": "human",
"value": "What describes fictional character in the text?"
},
{
"from": "gpt",
"value": "[]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" ENFIELD
ENFIELD
Caring, Professional Doctors
Welcome to Myhealth Medical Centre Enfield. We take pride in offering the highest standard of medical care to our patients. We offer a friendly, convenient, accessible and professional service. We are a well-respected family medical practice and have been serving the local community for decades. We provide a comprehensive medical service in one convenient location including General Medical Practitioners, Registered Nurse, Pathology Collection, Psychologist, Dietition and Exercise Physiologist. We are also an accredited Travel Vaccine Centre, including Yellow Fever vaccination. """<|im_end|>
<|im_start|>assistant
| ENFIELD
ENFIELD
Caring, Professional Doctors
Welcome to Myhealth Medical Centre Enfield. We take pride in offering the highest standard of medical care to our patients. We offer a friendly, convenient, accessible and professional service. We are a well-respected family medical practice and have been serving the local community for decades. We provide a comprehensive medical service in one convenient location including General Medical Practitioners, Registered Nurse, Pathology Collection, Psychologist, Dietition and Exercise Physiologist. We are also an accredited Travel Vaccine Centre, including Yellow Fever vaccination. | [
{
"from": "human",
"value": "Text: ENFIELD\n\nENFIELD\n\nCaring, Professional Doctors\n\nWelcome to Myhealth Medical Centre Enfield. We take pride in offering the highest standard of medical care to our patients. We offer a friendly, convenient, accessible and professional service. We are a well-respected family medical practice and have been serving the local community for decades. We provide a comprehensive medical service in one convenient location including General Medical Practitioners, Registered Nurse, Pathology Collection, Psychologist, Dietition and Exercise Physiologist. We are also an accredited Travel Vaccine Centre, including Yellow Fever vaccination."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes medical centre in the text?"
},
{
"from": "gpt",
"value": "[\"Myhealth Medical Centre Enfield\"]"
},
{
"from": "human",
"value": "What describes pathology in the text?"
},
{
"from": "gpt",
"value": "[\"Pathology Collection\"]"
},
{
"from": "human",
"value": "What describes nationality in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes body part in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes dietitian in the text?"
},
{
"from": "gpt",
"value": "[\"Dietition\"]"
},
{
"from": "human",
"value": "What describes vaccine centre in the text?"
},
{
"from": "gpt",
"value": "[\"Travel Vaccine Centre\"]"
},
{
"from": "human",
"value": "What describes medical practitioners in the text?"
},
{
"from": "gpt",
"value": "[\"General Medical Practitioners\"]"
},
{
"from": "human",
"value": "What describes nurse in the text?"
},
{
"from": "gpt",
"value": "[\"Registered Nurse\"]"
},
{
"from": "human",
"value": "What describes physiologist in the text?"
},
{
"from": "gpt",
"value": "[\"Exercise Physiologist\"]"
},
{
"from": "human",
"value": "What describes medical condition in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes disease in the text?"
},
{
"from": "gpt",
"value": "[\"Yellow Fever\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" The challenges of translating research into clinical and managerial practice have long been recognised.^[@R1]--[@R3]^ In principle, psychiatrists are amenable to evidence-based practice^[@R4]^ but despite this, research is inconsistently implemented into mental healthcare. One study^[@R5]^ reported that 65% of primary (mainly pharmacological) psychiatric in-patient interventions were based on 'high-level' evidence. However, another study reported^[@R6]^ that more than 50% of primary care and community patients with depression do not receive adequate antidepressant dosages and less than 10% receive evidence-based psychotherapy. There is also evidence that psychiatry trainees who are aware of research findings that question the relative effectiveness of newer antipsychotics were more likely to prescribe them than those who were unaware of the research.^[@R7]^
'Passive' knowledge translation (the synthesis and dissemination of research) is generally ineffective,^[@R1]--[@R3]^ thus the publication of journal articles alone is unlikely to result in behaviour change.^[@R8]^
Clinical librarians (CLs) have received little attention in knowledge translation. They provide 'information to\... support clinical decision making'^[@R9]^ and management/service delivery. """<|im_end|>
<|im_start|>assistant
| The challenges of translating research into clinical and managerial practice have long been recognised.^[@R1]--[@R3]^ In principle, psychiatrists are amenable to evidence-based practice^[@R4]^ but despite this, research is inconsistently implemented into mental healthcare. One study^[@R5]^ reported that 65% of primary (mainly pharmacological) psychiatric in-patient interventions were based on 'high-level' evidence. However, another study reported^[@R6]^ that more than 50% of primary care and community patients with depression do not receive adequate antidepressant dosages and less than 10% receive evidence-based psychotherapy. There is also evidence that psychiatry trainees who are aware of research findings that question the relative effectiveness of newer antipsychotics were more likely to prescribe them than those who were unaware of the research.^[@R7]^
'Passive' knowledge translation (the synthesis and dissemination of research) is generally ineffective,^[@R1]--[@R3]^ thus the publication of journal articles alone is unlikely to result in behaviour change.^[@R8]^
Clinical librarians (CLs) have received little attention in knowledge translation. They provide 'information to\... support clinical decision making'^[@R9]^ and management/service delivery. | [
{
"from": "human",
"value": "Text: The challenges of translating research into clinical and managerial practice have long been recognised.^[@R1]--[@R3]^ In principle, psychiatrists are amenable to evidence-based practice^[@R4]^ but despite this, research is inconsistently implemented into mental healthcare. One study^[@R5]^ reported that 65% of primary (mainly pharmacological) psychiatric in-patient interventions were based on 'high-level' evidence. However, another study reported^[@R6]^ that more than 50% of primary care and community patients with depression do not receive adequate antidepressant dosages and less than 10% receive evidence-based psychotherapy. There is also evidence that psychiatry trainees who are aware of research findings that question the relative effectiveness of newer antipsychotics were more likely to prescribe them than those who were unaware of the research.^[@R7]^\n\n'Passive' knowledge translation (the synthesis and dissemination of research) is generally ineffective,^[@R1]--[@R3]^ thus the publication of journal articles alone is unlikely to result in behaviour change.^[@R8]^\n\nClinical librarians (CLs) have received little attention in knowledge translation. They provide 'information to\\... support clinical decision making'^[@R9]^ and management/service delivery."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes concept in the text?"
},
{
"from": "gpt",
"value": "[\"research\", \"managerial practice\", \"mental healthcare\", \"primary care\", \"behaviour change\", \"information\", \"clinical decision making\", \"management/service delivery\"]"
},
{
"from": "human",
"value": "What describes publication in the text?"
},
{
"from": "gpt",
"value": "[\"journal articles\"]"
},
{
"from": "human",
"value": "What describes profession in the text?"
},
{
"from": "gpt",
"value": "[\"psychiatrists\", \"psychiatry trainees\"]"
},
{
"from": "human",
"value": "What describes group in the text?"
},
{
"from": "gpt",
"value": "[\"community patients\"]"
},
{
"from": "human",
"value": "What describes substance in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes condition in the text?"
},
{
"from": "gpt",
"value": "[\"depression\"]"
},
{
"from": "human",
"value": "What describes comparison data in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes disease in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes treatment in the text?"
},
{
"from": "gpt",
"value": "[\"antidepressant dosages\", \"psychotherapy\", \"newer antipsychotics\"]"
},
{
"from": "human",
"value": "What describes animal in the text?"
},
{
"from": "gpt",
"value": "[]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" There are hints of life in the Gophers yet. With the door to their once-promising season threatening to slam shut, the Gophers stuck their foot in the threshold Thursday night and kept the hope for a turnaround alive. In front of an announced crowd of 14,625 at Williams Arena on Valentine's Day, they shook off a lethargic start to overcome No. 20 Wisconsin 58-53 -- shaking off a two-game losing streak in a gritty and much-needed overtime victory. "The sky was falling around here," Gophers coach Tubby Smith said. "So sometimes, when the sky is falling and you're laying under the ceiling, you think it's going to cave in on you. So they [Wisconsin] wanted it, but we had to have it." Climaxing an improbable finish to regulation, sophomore guard Joe Coleman (six points, seven rebounds) sank two free throws to send the game to overtime. Sophomore guard Andre Hollins (21 points, five rebounds, three assists, no turnovers) scored seven points in the extra session and the Gophers (18-7, 6-6 Big Ten) kept the Badgers (17-8, 8-4) from sweeping the season series. But the drama didn't start there. """<|im_end|>
<|im_start|>assistant
| There are hints of life in the Gophers yet. With the door to their once-promising season threatening to slam shut, the Gophers stuck their foot in the threshold Thursday night and kept the hope for a turnaround alive. In front of an announced crowd of 14,625 at Williams Arena on Valentine's Day, they shook off a lethargic start to overcome No. 20 Wisconsin 58-53 -- shaking off a two-game losing streak in a gritty and much-needed overtime victory. "The sky was falling around here," Gophers coach Tubby Smith said. "So sometimes, when the sky is falling and you're laying under the ceiling, you think it's going to cave in on you. So they [Wisconsin] wanted it, but we had to have it." Climaxing an improbable finish to regulation, sophomore guard Joe Coleman (six points, seven rebounds) sank two free throws to send the game to overtime. Sophomore guard Andre Hollins (21 points, five rebounds, three assists, no turnovers) scored seven points in the extra session and the Gophers (18-7, 6-6 Big Ten) kept the Badgers (17-8, 8-4) from sweeping the season series. But the drama didn't start there. | [
{
"from": "human",
"value": "Text: There are hints of life in the Gophers yet. With the door to their once-promising season threatening to slam shut, the Gophers stuck their foot in the threshold Thursday night and kept the hope for a turnaround alive. In front of an announced crowd of 14,625 at Williams Arena on Valentine's Day, they shook off a lethargic start to overcome No. 20 Wisconsin 58-53 -- shaking off a two-game losing streak in a gritty and much-needed overtime victory. \"The sky was falling around here,\" Gophers coach Tubby Smith said. \"So sometimes, when the sky is falling and you're laying under the ceiling, you think it's going to cave in on you. So they [Wisconsin] wanted it, but we had to have it.\" Climaxing an improbable finish to regulation, sophomore guard Joe Coleman (six points, seven rebounds) sank two free throws to send the game to overtime. Sophomore guard Andre Hollins (21 points, five rebounds, three assists, no turnovers) scored seven points in the extra session and the Gophers (18-7, 6-6 Big Ten) kept the Badgers (17-8, 8-4) from sweeping the season series. But the drama didn't start there."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes team in the text?"
},
{
"from": "gpt",
"value": "[\"Gophers\", \"Wisconsin\", \"Badgers\"]"
},
{
"from": "human",
"value": "What describes organization in the text?"
},
{
"from": "gpt",
"value": "[\"Big Ten\"]"
},
{
"from": "human",
"value": "What describes product in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes concept in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes date in the text?"
},
{
"from": "gpt",
"value": "[\"Thursday night\", \"Valentine's Day\"]"
},
{
"from": "human",
"value": "What describes NORP in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[\"Tubby Smith\", \"Joe Coleman\", \"Andre Hollins\"]"
},
{
"from": "human",
"value": "What describes location in the text?"
},
{
"from": "gpt",
"value": "[\"Williams Arena\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" VR Film 'Traveling While Black' Is A Must-see
The VR documentary by Roger Ross Williams, Traveling While Black is set at Ben's Chili Bowl in Washington, DC. The restaurant was one of the 'safe places' African-American travelers could go during the mid-1950s.FELIX & PAUL STUDIOS
The 19-minute VR film takes the viewer on a journey to the segregationist environment of the 1950s right up to the current police violence in an emotional 3D/360-degree experience. The VR documentary was based on a 2010 play called The Green Book which put a spotlight on America during the time of the Jim Crow laws. The play was based on a real-life road trip survival handbook published in 1936 by the same name that gave travel tips to help African-Americans avoid racist and potentially life-threatening establishments along their journey. The VR documentary is set in one of those 'safe establishments' listed in the Green Book, Ben’s Chili Bowl, in Washington D.C.
Ross Williams said that VR allowed him to fully immerse the viewers in Traveling While Black in a way that traditional filmmaking simply cannot do. "When you experience this documentary in VR it's all around you, and you can't escape it," said Ross Williams. "Once the headset goes on, there are no external distractions. """<|im_end|>
<|im_start|>assistant
| VR Film 'Traveling While Black' Is A Must-see
The VR documentary by Roger Ross Williams, Traveling While Black is set at Ben's Chili Bowl in Washington, DC. The restaurant was one of the 'safe places' African-American travelers could go during the mid-1950s.FELIX & PAUL STUDIOS
The 19-minute VR film takes the viewer on a journey to the segregationist environment of the 1950s right up to the current police violence in an emotional 3D/360-degree experience. The VR documentary was based on a 2010 play called The Green Book which put a spotlight on America during the time of the Jim Crow laws. The play was based on a real-life road trip survival handbook published in 1936 by the same name that gave travel tips to help African-Americans avoid racist and potentially life-threatening establishments along their journey. The VR documentary is set in one of those 'safe establishments' listed in the Green Book, Ben’s Chili Bowl, in Washington D.C.
Ross Williams said that VR allowed him to fully immerse the viewers in Traveling While Black in a way that traditional filmmaking simply cannot do. "When you experience this documentary in VR it's all around you, and you can't escape it," said Ross Williams. "Once the headset goes on, there are no external distractions. | [
{
"from": "human",
"value": "Text: VR Film 'Traveling While Black' Is A Must-see\n\nThe VR documentary by Roger Ross Williams, Traveling While Black is set at Ben's Chili Bowl in Washington, DC. The restaurant was one of the 'safe places' African-American travelers could go during the mid-1950s.FELIX & PAUL STUDIOS\n\nThe 19-minute VR film takes the viewer on a journey to the segregationist environment of the 1950s right up to the current police violence in an emotional 3D/360-degree experience. The VR documentary was based on a 2010 play called The Green Book which put a spotlight on America during the time of the Jim Crow laws. The play was based on a real-life road trip survival handbook published in 1936 by the same name that gave travel tips to help African-Americans avoid racist and potentially life-threatening establishments along their journey. The VR documentary is set in one of those 'safe establishments' listed in the Green Book, Ben’s Chili Bowl, in Washington D.C.\n\nRoss Williams said that VR allowed him to fully immerse the viewers in Traveling While Black in a way that traditional filmmaking simply cannot do. \"When you experience this documentary in VR it's all around you, and you can't escape it,\" said Ross Williams. \"Once the headset goes on, there are no external distractions."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes Technology in the text?"
},
{
"from": "gpt",
"value": "[\"VR\", \"3D/360-degree\"]"
},
{
"from": "human",
"value": "What describes Occupation in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Organization in the text?"
},
{
"from": "gpt",
"value": "[\"FELIX & PAUL STUDIOS\"]"
},
{
"from": "human",
"value": "What describes Person in the text?"
},
{
"from": "gpt",
"value": "[\"Roger Ross Williams\"]"
},
{
"from": "human",
"value": "What describes Restaurant in the text?"
},
{
"from": "gpt",
"value": "[\"Ben's Chili Bowl\"]"
},
{
"from": "human",
"value": "What describes Ethnicity in the text?"
},
{
"from": "gpt",
"value": "[\"African-American\", \"African-Americans\"]"
},
{
"from": "human",
"value": "What describes Law in the text?"
},
{
"from": "gpt",
"value": "[\"Jim Crow laws\"]"
},
{
"from": "human",
"value": "What describes City in the text?"
},
{
"from": "gpt",
"value": "[\"Washington, DC\", \"Washington D.C.\"]"
},
{
"from": "human",
"value": "What describes Book in the text?"
},
{
"from": "gpt",
"value": "[\"Green Book\"]"
},
{
"from": "human",
"value": "What describes Date in the text?"
},
{
"from": "gpt",
"value": "[\"mid-1950s\", \"1950s\", \"1936\"]"
},
{
"from": "human",
"value": "What describes Film in the text?"
},
{
"from": "gpt",
"value": "[\"Traveling While Black\"]"
},
{
"from": "human",
"value": "What describes Characteristic in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Duration in the text?"
},
{
"from": "gpt",
"value": "[\"19-minute\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Tuesday, 20 April 2010
IBOFB has no evidence to support his position
Shyam
As part of his increasingly transparent attempts to character-assassinate me, the masked 'Amway' Lord Haw Haw, Mr. 'IBOFB' Steadson, has foolishly presented your readers with a rather interesting choice. 1). Am I making a false and defamatory statement when I openly say that Mr. David J. Steadson is a supine, intellectual prostitute representing severe and inflexible narcissisticracketeers who have illegally acquired absolute control over billions of dollars whilst steadfastly pretending absolute moral and intellectual authority? or
2). Is Mr. David J. Steadson making a false and defamatory statement when he hides behind a mask and implies that all free-thinking individuals challenging the authenticy of 'Multilevel Marketing', are merely narcissistic liars who are unconciously projecting the diagnosic criteria of their own mental disorder on to completely innocent business men and women like himself, Alan Kippax, Dexter and Birdie Yager and the members of the DeVos and VanAndel clans? Tellingly, Mr. Steadson hasn't one shred of quantifiable evidence to support his absurd and indefensible position. We, on the other hand, have a veritable mountain of quantifiable evidence on our side. """<|im_end|>
<|im_start|>assistant
| Tuesday, 20 April 2010
IBOFB has no evidence to support his position
Shyam
As part of his increasingly transparent attempts to character-assassinate me, the masked 'Amway' Lord Haw Haw, Mr. 'IBOFB' Steadson, has foolishly presented your readers with a rather interesting choice. 1). Am I making a false and defamatory statement when I openly say that Mr. David J. Steadson is a supine, intellectual prostitute representing severe and inflexible narcissisticracketeers who have illegally acquired absolute control over billions of dollars whilst steadfastly pretending absolute moral and intellectual authority? or
2). Is Mr. David J. Steadson making a false and defamatory statement when he hides behind a mask and implies that all free-thinking individuals challenging the authenticy of 'Multilevel Marketing', are merely narcissistic liars who are unconciously projecting the diagnosic criteria of their own mental disorder on to completely innocent business men and women like himself, Alan Kippax, Dexter and Birdie Yager and the members of the DeVos and VanAndel clans? Tellingly, Mr. Steadson hasn't one shred of quantifiable evidence to support his absurd and indefensible position. We, on the other hand, have a veritable mountain of quantifiable evidence on our side. | [
{
"from": "human",
"value": "Text: Tuesday, 20 April 2010\n\nIBOFB has no evidence to support his position\n\nShyam\n\nAs part of his increasingly transparent attempts to character-assassinate me, the masked 'Amway' Lord Haw Haw, Mr. 'IBOFB' Steadson, has foolishly presented your readers with a rather interesting choice. 1). Am I making a false and defamatory statement when I openly say that Mr. David J. Steadson is a supine, intellectual prostitute representing severe and inflexible narcissisticracketeers who have illegally acquired absolute control over billions of dollars whilst steadfastly pretending absolute moral and intellectual authority? or\n\n2). Is Mr. David J. Steadson making a false and defamatory statement when he hides behind a mask and implies that all free-thinking individuals challenging the authenticy of 'Multilevel Marketing', are merely narcissistic liars who are unconciously projecting the diagnosic criteria of their own mental disorder on to completely innocent business men and women like himself, Alan Kippax, Dexter and Birdie Yager and the members of the DeVos and VanAndel clans? Tellingly, Mr. Steadson hasn't one shred of quantifiable evidence to support his absurd and indefensible position. We, on the other hand, have a veritable mountain of quantifiable evidence on our side."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes enzyme in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Date in the text?"
},
{
"from": "gpt",
"value": "[\"Tuesday\"]"
},
{
"from": "human",
"value": "What describes Person in the text?"
},
{
"from": "gpt",
"value": "[\"IBOFB\", \"Lord Haw Haw\", \"David J. Steadson\", \"Shyam\", \"Alan Kippax\", \"Dexter\", \"Birdie Yager\", \"DeVos\", \"VanAndel\"]"
},
{
"from": "human",
"value": "What describes Organization in the text?"
},
{
"from": "gpt",
"value": "[\"Amway\", \"Multilevel Marketing\"]"
},
{
"from": "human",
"value": "What describes Location in the text?"
},
{
"from": "gpt",
"value": "[]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Angel Wainaina
Angela "Angel" Wainaina (1983 – 28 January 2009) was a Kenyan actress, radio presenter and rapper. Life
Wainaina was born 1983 in Kawangware, a slum of Nairobi, Kenya. She joined a drama club at Kambui High School. She was a runner up at the Miss Kenya competition in 2005. She was a poet and underground rapper. She played Sergeant Maria in the popular television show "Cobra Squad". On 15 January 2007, she began working for Ghetto Radio, as Kenya's first female MC. Her show "Chanuka Dada" was very popular, and she was well known for her energetic social advocacy. She was awarded the Young Women African Summit's media award. Death
Wainaina died on 28 January 2009 in the Nakumatt supermarket fire. Her funeral was held at the Holy Family Cathedral in Nairobi. References
Category:1983 births
Category:2009 deaths
Category:Kenyan television actresses
Category:Kenyan journalists
Category:21st-century Kenyan actresses """<|im_end|>
<|im_start|>assistant
| Angel Wainaina
Angela "Angel" Wainaina (1983 – 28 January 2009) was a Kenyan actress, radio presenter and rapper. Life
Wainaina was born 1983 in Kawangware, a slum of Nairobi, Kenya. She joined a drama club at Kambui High School. She was a runner up at the Miss Kenya competition in 2005. She was a poet and underground rapper. She played Sergeant Maria in the popular television show "Cobra Squad". On 15 January 2007, she began working for Ghetto Radio, as Kenya's first female MC. Her show "Chanuka Dada" was very popular, and she was well known for her energetic social advocacy. She was awarded the Young Women African Summit's media award. Death
Wainaina died on 28 January 2009 in the Nakumatt supermarket fire. Her funeral was held at the Holy Family Cathedral in Nairobi. References
Category:1983 births
Category:2009 deaths
Category:Kenyan television actresses
Category:Kenyan journalists
Category:21st-century Kenyan actresses | [
{
"from": "human",
"value": "Text: Angel Wainaina\n\nAngela \"Angel\" Wainaina (1983 – 28 January 2009) was a Kenyan actress, radio presenter and rapper. Life\nWainaina was born 1983 in Kawangware, a slum of Nairobi, Kenya. She joined a drama club at Kambui High School. She was a runner up at the Miss Kenya competition in 2005. She was a poet and underground rapper. She played Sergeant Maria in the popular television show \"Cobra Squad\". On 15 January 2007, she began working for Ghetto Radio, as Kenya's first female MC. Her show \"Chanuka Dada\" was very popular, and she was well known for her energetic social advocacy. She was awarded the Young Women African Summit's media award. Death\nWainaina died on 28 January 2009 in the Nakumatt supermarket fire. Her funeral was held at the Holy Family Cathedral in Nairobi. References \n\nCategory:1983 births\nCategory:2009 deaths\nCategory:Kenyan television actresses\nCategory:Kenyan journalists\nCategory:21st-century Kenyan actresses"
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes Award in the text?"
},
{
"from": "gpt",
"value": "[\"media award\"]"
},
{
"from": "human",
"value": "What describes Body of Water in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Nationality in the text?"
},
{
"from": "gpt",
"value": "[\"Kenyan\"]"
},
{
"from": "human",
"value": "What describes Location in the text?"
},
{
"from": "gpt",
"value": "[\"Kawangware\", \"Nairobi\", \"Kenya\", \"Holy Family Cathedral\"]"
},
{
"from": "human",
"value": "What describes System in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Character in the text?"
},
{
"from": "gpt",
"value": "[\"Sergeant Maria\"]"
},
{
"from": "human",
"value": "What describes Show in the text?"
},
{
"from": "gpt",
"value": "[\"Chanuka Dada\"]"
},
{
"from": "human",
"value": "What describes Service in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Time Period in the text?"
},
{
"from": "gpt",
"value": "[\"21st-century\"]"
},
{
"from": "human",
"value": "What describes Profession in the text?"
},
{
"from": "gpt",
"value": "[\"actress\", \"radio presenter\", \"rapper\", \"poet\", \"Kenyan television actresses\", \"Kenyan journalists\"]"
},
{
"from": "human",
"value": "What describes phenomenon in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Organization in the text?"
},
{
"from": "gpt",
"value": "[\"drama club\", \"Kambui High School\", \"Ghetto Radio\", \"Young Women African Summit\"]"
},
{
"from": "human",
"value": "What describes database table in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Competition in the text?"
},
{
"from": "gpt",
"value": "[\"Miss Kenya\"]"
},
{
"from": "human",
"value": "What describes Event in the text?"
},
{
"from": "gpt",
"value": "[\"Nakumatt supermarket fire\"]"
},
{
"from": "human",
"value": "What describes software in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Cause of Event in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Television Show in the text?"
},
{
"from": "gpt",
"value": "[\"Cobra Squad\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" See an aerial image showing the extent of the damage
Enlarge Image
The vessel, which was undergoing a £25m restoration, is kept in a dry dock at Greenwich in south-east London. Police are analysing CCTV images which are thought to show people in the area shortly before the fire started. A Cutty Sark Trust spokesman said much of the ship had been removed for restoration and the damage could have been worse. Half the planking and the masts had been taken away as part of the project. Chris Livett, chairman of Cutty Sark Enterprises which is repairing the clipper, said at the scene: "From where I stand there is not a huge amount of damage to the planking that was left on. "There are pockets of charred planking and some have gone, but it doesn't look as bad as first envisaged." The chief executive of the charitable Cutty Sark Trust, Richard Doughty, said: "What is special about Cutty Sark is the timbers, the iron frames that went to the South China Seas, and to think that that is threatened in any way is unbelievable, it's an unimaginable shock." Following an inspection of the site on Monday afternoon, Mr Doughty said: "Buckling of the hull remains a big fear but until we do the measurements we are not going to know. """<|im_end|>
<|im_start|>assistant
| See an aerial image showing the extent of the damage
Enlarge Image
The vessel, which was undergoing a £25m restoration, is kept in a dry dock at Greenwich in south-east London. Police are analysing CCTV images which are thought to show people in the area shortly before the fire started. A Cutty Sark Trust spokesman said much of the ship had been removed for restoration and the damage could have been worse. Half the planking and the masts had been taken away as part of the project. Chris Livett, chairman of Cutty Sark Enterprises which is repairing the clipper, said at the scene: "From where I stand there is not a huge amount of damage to the planking that was left on. "There are pockets of charred planking and some have gone, but it doesn't look as bad as first envisaged." The chief executive of the charitable Cutty Sark Trust, Richard Doughty, said: "What is special about Cutty Sark is the timbers, the iron frames that went to the South China Seas, and to think that that is threatened in any way is unbelievable, it's an unimaginable shock." Following an inspection of the site on Monday afternoon, Mr Doughty said: "Buckling of the hull remains a big fear but until we do the measurements we are not going to know. | [
{
"from": "human",
"value": "Text: See an aerial image showing the extent of the damage\n\nEnlarge Image\n\n\n\nThe vessel, which was undergoing a £25m restoration, is kept in a dry dock at Greenwich in south-east London. Police are analysing CCTV images which are thought to show people in the area shortly before the fire started. A Cutty Sark Trust spokesman said much of the ship had been removed for restoration and the damage could have been worse. Half the planking and the masts had been taken away as part of the project. Chris Livett, chairman of Cutty Sark Enterprises which is repairing the clipper, said at the scene: \"From where I stand there is not a huge amount of damage to the planking that was left on. \"There are pockets of charred planking and some have gone, but it doesn't look as bad as first envisaged.\" The chief executive of the charitable Cutty Sark Trust, Richard Doughty, said: \"What is special about Cutty Sark is the timbers, the iron frames that went to the South China Seas, and to think that that is threatened in any way is unbelievable, it's an unimaginable shock.\" Following an inspection of the site on Monday afternoon, Mr Doughty said: \"Buckling of the hull remains a big fear but until we do the measurements we are not going to know."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes ordinal in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes data in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes technology in the text?"
},
{
"from": "gpt",
"value": "[\"CCTV\"]"
},
{
"from": "human",
"value": "What describes location in the text?"
},
{
"from": "gpt",
"value": "[\"Greenwich\", \"London\", \"South China Seas\"]"
},
{
"from": "human",
"value": "What describes date in the text?"
},
{
"from": "gpt",
"value": "[\"Monday\"]"
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[\"Chris Livett\", \"Richard Doughty\"]"
},
{
"from": "human",
"value": "What describes organization in the text?"
},
{
"from": "gpt",
"value": "[\"Cutty Sark\", \"Cutty Sark Enterprises\"]"
},
{
"from": "human",
"value": "What describes crime in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes concept in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes point in the text?"
},
{
"from": "gpt",
"value": "[]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" US Forest Service chief Tony Tooke has resigned amid widespread allegations of sexual misconduct and harassment. Tooke’s resignation came after “PBS NewsHour” reported the US Agriculture Department was probing misconduct complaints about his relationship with subordinates prior to his current role at the forestry agency. The Forest Service last week confirmed that an independent investigator was looking into Tooke’s behavior, ABC News reported. The nature of his alleged misconduct was not disclosed. At least 34 women working for the agency in 13 states talked to PBS, which reported a culture of sexual harassment and assault within the agency, as well as retaliation against those who reported it. Three women reported being raped. In a memo to staffers, Tooke said he has been cooperating and that he admired the courage of the women who have made complaints, according to Politico. “I have been forthright during the review, but I cannot combat every inaccuracy that is reported in the news media. What I can control, however, are decisions I make today and the choice of a path for the future that is best for our employees, the Forest Service and the U.S. Department of Agriculture,” he wrote. “I must also think about what is best for my family. """<|im_end|>
<|im_start|>assistant
| US Forest Service chief Tony Tooke has resigned amid widespread allegations of sexual misconduct and harassment. Tooke’s resignation came after “PBS NewsHour” reported the US Agriculture Department was probing misconduct complaints about his relationship with subordinates prior to his current role at the forestry agency. The Forest Service last week confirmed that an independent investigator was looking into Tooke’s behavior, ABC News reported. The nature of his alleged misconduct was not disclosed. At least 34 women working for the agency in 13 states talked to PBS, which reported a culture of sexual harassment and assault within the agency, as well as retaliation against those who reported it. Three women reported being raped. In a memo to staffers, Tooke said he has been cooperating and that he admired the courage of the women who have made complaints, according to Politico. “I have been forthright during the review, but I cannot combat every inaccuracy that is reported in the news media. What I can control, however, are decisions I make today and the choice of a path for the future that is best for our employees, the Forest Service and the U.S. Department of Agriculture,” he wrote. “I must also think about what is best for my family. | [
{
"from": "human",
"value": "Text: US Forest Service chief Tony Tooke has resigned amid widespread allegations of sexual misconduct and harassment. Tooke’s resignation came after “PBS NewsHour” reported the US Agriculture Department was probing misconduct complaints about his relationship with subordinates prior to his current role at the forestry agency. The Forest Service last week confirmed that an independent investigator was looking into Tooke’s behavior, ABC News reported. The nature of his alleged misconduct was not disclosed. At least 34 women working for the agency in 13 states talked to PBS, which reported a culture of sexual harassment and assault within the agency, as well as retaliation against those who reported it. Three women reported being raped. In a memo to staffers, Tooke said he has been cooperating and that he admired the courage of the women who have made complaints, according to Politico. “I have been forthright during the review, but I cannot combat every inaccuracy that is reported in the news media. What I can control, however, are decisions I make today and the choice of a path for the future that is best for our employees, the Forest Service and the U.S. Department of Agriculture,” he wrote. “I must also think about what is best for my family."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes Location in the text?"
},
{
"from": "gpt",
"value": "[\"13 states\"]"
},
{
"from": "human",
"value": "What describes Organization in the text?"
},
{
"from": "gpt",
"value": "[\"PBS NewsHour\", \"US Agriculture Department\", \"Forest Service\", \"ABC News\", \"PBS\", \"Politico\"]"
},
{
"from": "human",
"value": "What describes Person in the text?"
},
{
"from": "gpt",
"value": "[\"Tony Tooke\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Kirsten Hansteen
Kirsten Hansteen (5 January 1903 – 17 November 1974) was a Norwegian editor and librarian. She was appointed Minister of Social Affairs with Gerhardsen's First Cabinet in 1945 and was the first female member of cabinet in Norway. Biography
She was born at Lyngen in Troms, Norway. Her parents were Ole Christian Strøm Moe (1866–1907) and Gerda Sophie Landmark (1871–1934). Her father died when she was only four years old, and her mother moved her five children to Kristiania (now Oslo). She graduated artium in 1921 and later studied German and Norwegian at the University of Oslo. In 1930, she married attorney Viggo Hansteen (1900-1941). Her husband was executed in 1941 during the Occupation of Norway by Nazi Germany. She edited the underground resistance and feminist paper Kvinnefronten (The Women's front) during the German occupation. After the liberation of Norway at the end of World War II, she co-founded the journal Kvinnen og Tiden with Henriette Bie Lorentzen (1911–2001). Lorentzen and Hansteen served as joint editors-in-chief of the journal which was in publication from December 1945 until 1955. Kirsten Hansteen was also a Member of the Norwegian Parliamentary from Akershus as a representative of the Communist Party of Norway from 1945-1949. """<|im_end|>
<|im_start|>assistant
| Kirsten Hansteen
Kirsten Hansteen (5 January 1903 – 17 November 1974) was a Norwegian editor and librarian. She was appointed Minister of Social Affairs with Gerhardsen's First Cabinet in 1945 and was the first female member of cabinet in Norway. Biography
She was born at Lyngen in Troms, Norway. Her parents were Ole Christian Strøm Moe (1866–1907) and Gerda Sophie Landmark (1871–1934). Her father died when she was only four years old, and her mother moved her five children to Kristiania (now Oslo). She graduated artium in 1921 and later studied German and Norwegian at the University of Oslo. In 1930, she married attorney Viggo Hansteen (1900-1941). Her husband was executed in 1941 during the Occupation of Norway by Nazi Germany. She edited the underground resistance and feminist paper Kvinnefronten (The Women's front) during the German occupation. After the liberation of Norway at the end of World War II, she co-founded the journal Kvinnen og Tiden with Henriette Bie Lorentzen (1911–2001). Lorentzen and Hansteen served as joint editors-in-chief of the journal which was in publication from December 1945 until 1955. Kirsten Hansteen was also a Member of the Norwegian Parliamentary from Akershus as a representative of the Communist Party of Norway from 1945-1949. | [
{
"from": "human",
"value": "Text: Kirsten Hansteen\n\nKirsten Hansteen (5 January 1903 – 17 November 1974) was a Norwegian editor and librarian. She was appointed Minister of Social Affairs with Gerhardsen's First Cabinet in 1945 and was the first female member of cabinet in Norway. Biography\nShe was born at Lyngen in Troms, Norway. Her parents were Ole Christian Strøm Moe (1866–1907) and Gerda Sophie Landmark (1871–1934). Her father died when she was only four years old, and her mother moved her five children to Kristiania (now Oslo). She graduated artium in 1921 and later studied German and Norwegian at the University of Oslo. In 1930, she married attorney Viggo Hansteen (1900-1941). Her husband was executed in 1941 during the Occupation of Norway by Nazi Germany. She edited the underground resistance and feminist paper Kvinnefronten (The Women's front) during the German occupation. After the liberation of Norway at the end of World War II, she co-founded the journal Kvinnen og Tiden with Henriette Bie Lorentzen (1911–2001). Lorentzen and Hansteen served as joint editors-in-chief of the journal which was in publication from December 1945 until 1955. Kirsten Hansteen was also a Member of the Norwegian Parliamentary from Akershus as a representative of the Communist Party of Norway from 1945-1949."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes Event in the text?"
},
{
"from": "gpt",
"value": "[\"Occupation of Norway\", \"World War II\"]"
},
{
"from": "human",
"value": "What describes Organization in the text?"
},
{
"from": "gpt",
"value": "[\"Gerhardsen's First Cabinet\", \"University of Oslo\", \"Nazi Germany\", \"Kvinnefronten\", \"The Women's front\", \"Kvinnen og Tiden\", \"Norwegian Parliamentary\", \"Communist Party of Norway\"]"
},
{
"from": "human",
"value": "What describes Person in the text?"
},
{
"from": "gpt",
"value": "[\"Kirsten Hansteen\", \"Ole Christian Str\\u00f8m Moe\", \"Gerda Sophie Landmark\", \"Viggo Hansteen\", \"Henriette Bie Lorentzen\"]"
},
{
"from": "human",
"value": "What describes Location in the text?"
},
{
"from": "gpt",
"value": "[\"Norway\", \"Lyngen\", \"Troms\", \"Kristiania\", \"Oslo\", \"Akershus\"]"
},
{
"from": "human",
"value": "What describes drug in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes ion in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Nationality in the text?"
},
{
"from": "gpt",
"value": "[\"Norwegian\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" [This is a really crooked video feed, and the jerk recording it didn't even bother to wipe his nose before he started, as evidenced by the fact that his face is maybe a little covered in blood. Gross.] This is a--this is a PSA--that is…public service announcement, for those of you not--not in the know, as far as acronyms are concerned. I'm just going to start listing things, and if any of it sounds familiar, please come to--to collect your memories, I don't want them. I had more than enough of other people in my head back home, I didn't--
[Right, just give him a second to try and take care of that nosebleed.] It didn't start out so bad, but now I'm pretty sure I'm dying, or my head is going to explode, or I'm going to leak out all my blood through my face, so if we could all--could get this sorted as fast as possible, I'd appreciate it. [Here is a big, gross, snotty inhale, as if to emphasize that he is, in fact, dying. It sounds like SSNNNRRRKKK. """<|im_end|>
<|im_start|>assistant
| [This is a really crooked video feed, and the jerk recording it didn't even bother to wipe his nose before he started, as evidenced by the fact that his face is maybe a little covered in blood. Gross.] This is a--this is a PSA--that is…public service announcement, for those of you not--not in the know, as far as acronyms are concerned. I'm just going to start listing things, and if any of it sounds familiar, please come to--to collect your memories, I don't want them. I had more than enough of other people in my head back home, I didn't--
[Right, just give him a second to try and take care of that nosebleed.] It didn't start out so bad, but now I'm pretty sure I'm dying, or my head is going to explode, or I'm going to leak out all my blood through my face, so if we could all--could get this sorted as fast as possible, I'd appreciate it. [Here is a big, gross, snotty inhale, as if to emphasize that he is, in fact, dying. It sounds like SSNNNRRRKKK. | [
{
"from": "human",
"value": "Text: [This is a really crooked video feed, and the jerk recording it didn't even bother to wipe his nose before he started, as evidenced by the fact that his face is maybe a little covered in blood. Gross.] This is a--this is a PSA--that is…public service announcement, for those of you not--not in the know, as far as acronyms are concerned. I'm just going to start listing things, and if any of it sounds familiar, please come to--to collect your memories, I don't want them. I had more than enough of other people in my head back home, I didn't--\n\n[Right, just give him a second to try and take care of that nosebleed.] It didn't start out so bad, but now I'm pretty sure I'm dying, or my head is going to explode, or I'm going to leak out all my blood through my face, so if we could all--could get this sorted as fast as possible, I'd appreciate it. [Here is a big, gross, snotty inhale, as if to emphasize that he is, in fact, dying. It sounds like SSNNNRRRKKK."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes organization in the text?"
},
{
"from": "gpt",
"value": "[\"PSA\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" U.S. women’s soccer team ready to show off talent — young and old — in soccer friendly vs. Scotland
For local diehard fans of women’s soccer, this week's U.S. vs. Scotland exhibition match is an unprecedented opportunity to see the American team — stars both old and new. With 29 players on the American roster, it's hard to tell exactly how long any given player will be on the field; the smart money is on a rotation of talent. Returning to the pitch for the American side, after more than a year-long layoff: defender Ali Krieger. Krieger, a 28-year-old alumna of the Penn State Nittany Lions, tore knee ligaments in an Olympic qualifier match against the Dominican Republic last year. She'd spent the better part of the last five years overseas playing in Germany, but has decided to spend the next stretch of her career Stateside. A big driver of that decision, as you would expect, is her involvement with the U.S. National Team. “They really kept me motivated to want to get back, but also my younger fans and actually just my fans in general,” Krieger told NWSL News. “They were amazing throughout my entire process of rehab, and I couldn’t thank them enough. But little did they know they inspired me so much to want to get back. """<|im_end|>
<|im_start|>assistant
| U.S. women’s soccer team ready to show off talent — young and old — in soccer friendly vs. Scotland
For local diehard fans of women’s soccer, this week's U.S. vs. Scotland exhibition match is an unprecedented opportunity to see the American team — stars both old and new. With 29 players on the American roster, it's hard to tell exactly how long any given player will be on the field; the smart money is on a rotation of talent. Returning to the pitch for the American side, after more than a year-long layoff: defender Ali Krieger. Krieger, a 28-year-old alumna of the Penn State Nittany Lions, tore knee ligaments in an Olympic qualifier match against the Dominican Republic last year. She'd spent the better part of the last five years overseas playing in Germany, but has decided to spend the next stretch of her career Stateside. A big driver of that decision, as you would expect, is her involvement with the U.S. National Team. “They really kept me motivated to want to get back, but also my younger fans and actually just my fans in general,” Krieger told NWSL News. “They were amazing throughout my entire process of rehab, and I couldn’t thank them enough. But little did they know they inspired me so much to want to get back. | [
{
"from": "human",
"value": "Text: U.S. women’s soccer team ready to show off talent — young and old — in soccer friendly vs. Scotland\n\nFor local diehard fans of women’s soccer, this week's U.S. vs. Scotland exhibition match is an unprecedented opportunity to see the American team — stars both old and new. With 29 players on the American roster, it's hard to tell exactly how long any given player will be on the field; the smart money is on a rotation of talent. Returning to the pitch for the American side, after more than a year-long layoff: defender Ali Krieger. Krieger, a 28-year-old alumna of the Penn State Nittany Lions, tore knee ligaments in an Olympic qualifier match against the Dominican Republic last year. She'd spent the better part of the last five years overseas playing in Germany, but has decided to spend the next stretch of her career Stateside. A big driver of that decision, as you would expect, is her involvement with the U.S. National Team. “They really kept me motivated to want to get back, but also my younger fans and actually just my fans in general,” Krieger told NWSL News. “They were amazing throughout my entire process of rehab, and I couldn’t thank them enough. But little did they know they inspired me so much to want to get back."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes country in the text?"
},
{
"from": "gpt",
"value": "[\"Scotland\", \"Germany\"]"
},
{
"from": "human",
"value": "What describes sports team in the text?"
},
{
"from": "gpt",
"value": "[\"Penn State Nittany Lions\", \"U.S. National Team\"]"
},
{
"from": "human",
"value": "What describes publication in the text?"
},
{
"from": "gpt",
"value": "[\"NWSL News\"]"
},
{
"from": "human",
"value": "What describes class in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes demonym in the text?"
},
{
"from": "gpt",
"value": "[\"American\"]"
},
{
"from": "human",
"value": "What describes quantity in the text?"
},
{
"from": "gpt",
"value": "[\"29 players\"]"
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[\"Ali Krieger\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Join Susan Collins as she gives a demonstration at Laupahoehoe Library on how to prepare jackfruit for various recipes. Participants will learn how to clean, precook, freeze and add jackfruit to everyday cooking. Participants will be able to sample and take home new recipes. Jackfruit is a nutritional bonanza of vitamins, minerals, and dietary fiber. It is a viable sources of iron, magnesium, potassium, and manganese as well. This native fruit to India and Bangladesh grows well in Hawaii and can be found statewide. Program schedule is subject to change. Contact the hosting library 15 days in advance to request a sign language interpreter or if special accommodations are needed. For a list of upcoming library events, visits http://www.librarieshawaii.org/events. """<|im_end|>
<|im_start|>assistant
| Join Susan Collins as she gives a demonstration at Laupahoehoe Library on how to prepare jackfruit for various recipes. Participants will learn how to clean, precook, freeze and add jackfruit to everyday cooking. Participants will be able to sample and take home new recipes. Jackfruit is a nutritional bonanza of vitamins, minerals, and dietary fiber. It is a viable sources of iron, magnesium, potassium, and manganese as well. This native fruit to India and Bangladesh grows well in Hawaii and can be found statewide. Program schedule is subject to change. Contact the hosting library 15 days in advance to request a sign language interpreter or if special accommodations are needed. For a list of upcoming library events, visits http://www.librarieshawaii.org/events. | [
{
"from": "human",
"value": "Text: Join Susan Collins as she gives a demonstration at Laupahoehoe Library on how to prepare jackfruit for various recipes. Participants will learn how to clean, precook, freeze and add jackfruit to everyday cooking. Participants will be able to sample and take home new recipes. Jackfruit is a nutritional bonanza of vitamins, minerals, and dietary fiber. It is a viable sources of iron, magnesium, potassium, and manganese as well. This native fruit to India and Bangladesh grows well in Hawaii and can be found statewide. Program schedule is subject to change. Contact the hosting library 15 days in advance to request a sign language interpreter or if special accommodations are needed. For a list of upcoming library events, visits http://www.librarieshawaii.org/events."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[\"Susan Collins\"]"
},
{
"from": "human",
"value": "What describes case in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes technology in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes location in the text?"
},
{
"from": "gpt",
"value": "[\"Laupahoehoe Library\", \"India\", \"Bangladesh\", \"Hawaii\"]"
},
{
"from": "human",
"value": "What describes food in the text?"
},
{
"from": "gpt",
"value": "[\"jackfruit\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Tuesday, April 20, 2010
Civil Service
Ah, the bureaucracy. The force against change. The body of creatures that comes into existence as the size of the state expands, and who are needed to communicate the commands of the state’s overlords to the people - and in turn, to see to it that those commands are followed. And if they are not followed, then it is also the bureaucracy’s purpose to bring down punishment. A hideous entity, as we all know far too well. This is the face of the government, for whom we do not vote and towards whom there is little sympathy or affection when it happens that they “are just doing their jobs.” It is, probably, fairly unpleasant work - which helps explain why people untainted with any humanity manage to find themselves part of the cogs and wheels that crush out the happiness of poor citizens such as ourselves. My apology to any civil servants reading this. Pffft. Like there would be. Any large political entity is greatly dependent upon its civil service, and even in terms of medieval cultures, those empires or political states possessed of a great bureaucracy stood head and shoulders above the anarchy of their enemies. """<|im_end|>
<|im_start|>assistant
| Tuesday, April 20, 2010
Civil Service
Ah, the bureaucracy. The force against change. The body of creatures that comes into existence as the size of the state expands, and who are needed to communicate the commands of the state’s overlords to the people - and in turn, to see to it that those commands are followed. And if they are not followed, then it is also the bureaucracy’s purpose to bring down punishment. A hideous entity, as we all know far too well. This is the face of the government, for whom we do not vote and towards whom there is little sympathy or affection when it happens that they “are just doing their jobs.” It is, probably, fairly unpleasant work - which helps explain why people untainted with any humanity manage to find themselves part of the cogs and wheels that crush out the happiness of poor citizens such as ourselves. My apology to any civil servants reading this. Pffft. Like there would be. Any large political entity is greatly dependent upon its civil service, and even in terms of medieval cultures, those empires or political states possessed of a great bureaucracy stood head and shoulders above the anarchy of their enemies. | [
{
"from": "human",
"value": "Text: Tuesday, April 20, 2010\n\nCivil Service\n\nAh, the bureaucracy. The force against change. The body of creatures that comes into existence as the size of the state expands, and who are needed to communicate the commands of the state’s overlords to the people - and in turn, to see to it that those commands are followed. And if they are not followed, then it is also the bureaucracy’s purpose to bring down punishment. A hideous entity, as we all know far too well. This is the face of the government, for whom we do not vote and towards whom there is little sympathy or affection when it happens that they “are just doing their jobs.” It is, probably, fairly unpleasant work - which helps explain why people untainted with any humanity manage to find themselves part of the cogs and wheels that crush out the happiness of poor citizens such as ourselves. My apology to any civil servants reading this. Pffft. Like there would be. Any large political entity is greatly dependent upon its civil service, and even in terms of medieval cultures, those empires or political states possessed of a great bureaucracy stood head and shoulders above the anarchy of their enemies."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes Date in the text?"
},
{
"from": "gpt",
"value": "[\"Tuesday\", \"April 20, 2010\"]"
},
{
"from": "human",
"value": "What describes Organization in the text?"
},
{
"from": "gpt",
"value": "[\"Civil Service\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" England captain Chris Robshaw insists his side will stick to their attacking game plan when they tackle Ireland in a mouth-watering Six Nations showdown in Dublin next weekend. Robshaw's side made an impressive start to their championship campaign with a four-try 38-18 victory over Scotland at Twickenham on Saturday with their ambition drawing rave reviews. Ireland also showed plenty of intent in their 30-22 triumph over Wales in Cardiff and following Italy's upset victory over favourites France, the Aviva Stadium clash on Sunday is already being billed as a potential title decider. England have not won a Six Nations game in the Irish capital since 2003 but Robshaw is confident a rare win is within their grasp. "We all feel we have more to give and we will need to be hard on ourselves this week in training again to make sure we are better for it against Ireland on Sunday," he wrote in his column for The Daily Telegraph. "We are starting to play an attacking game and were potentially a little bit loose at times on Saturday. The endeavour, energy and attitude was there but we will need to tighten up a few things ahead of our trip to Dublin. "In particular, every now and again we tried to force the offload - I forced a pass myself which I just should have taken into contact. """<|im_end|>
<|im_start|>assistant
| England captain Chris Robshaw insists his side will stick to their attacking game plan when they tackle Ireland in a mouth-watering Six Nations showdown in Dublin next weekend. Robshaw's side made an impressive start to their championship campaign with a four-try 38-18 victory over Scotland at Twickenham on Saturday with their ambition drawing rave reviews. Ireland also showed plenty of intent in their 30-22 triumph over Wales in Cardiff and following Italy's upset victory over favourites France, the Aviva Stadium clash on Sunday is already being billed as a potential title decider. England have not won a Six Nations game in the Irish capital since 2003 but Robshaw is confident a rare win is within their grasp. "We all feel we have more to give and we will need to be hard on ourselves this week in training again to make sure we are better for it against Ireland on Sunday," he wrote in his column for The Daily Telegraph. "We are starting to play an attacking game and were potentially a little bit loose at times on Saturday. The endeavour, energy and attitude was there but we will need to tighten up a few things ahead of our trip to Dublin. "In particular, every now and again we tried to force the offload - I forced a pass myself which I just should have taken into contact. | [
{
"from": "human",
"value": "Text: England captain Chris Robshaw insists his side will stick to their attacking game plan when they tackle Ireland in a mouth-watering Six Nations showdown in Dublin next weekend. Robshaw's side made an impressive start to their championship campaign with a four-try 38-18 victory over Scotland at Twickenham on Saturday with their ambition drawing rave reviews. Ireland also showed plenty of intent in their 30-22 triumph over Wales in Cardiff and following Italy's upset victory over favourites France, the Aviva Stadium clash on Sunday is already being billed as a potential title decider. England have not won a Six Nations game in the Irish capital since 2003 but Robshaw is confident a rare win is within their grasp. \"We all feel we have more to give and we will need to be hard on ourselves this week in training again to make sure we are better for it against Ireland on Sunday,\" he wrote in his column for The Daily Telegraph. \"We are starting to play an attacking game and were potentially a little bit loose at times on Saturday. The endeavour, energy and attitude was there but we will need to tighten up a few things ahead of our trip to Dublin. \"In particular, every now and again we tried to force the offload - I forced a pass myself which I just should have taken into contact."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes location in the text?"
},
{
"from": "gpt",
"value": "[\"England\", \"Ireland\", \"Dublin\", \"Scotland\", \"Twickenham\", \"Wales\", \"Cardiff\", \"Italy\", \"France\", \"Aviva Stadium\"]"
},
{
"from": "human",
"value": "What describes event in the text?"
},
{
"from": "gpt",
"value": "[\"Six Nations\"]"
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[\"Chris Robshaw\"]"
},
{
"from": "human",
"value": "What describes country in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes method in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes publication in the text?"
},
{
"from": "gpt",
"value": "[\"Daily Telegraph\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" REVIEW: Melissa McCarthy brings ‘The Heat’
It’s interesting how a film can be so familiar and so unusual at the same time. Take The Heat. Pairing an A-list movie star with a proven comic talent for a buddy cop comedy is hardly a fresh idea. 48 Hours, Rush Hour, The Other Guys – it’s been done, and it doesn’t always work. Still, it is a well-worn concept that often delivers enough laughs to merit a couple of hours. Now, thanks mostly to the deserved popularity of Bridesmaids, it has finally occurred to someone in Hollywood that women can shoulder an R-rated comedy. So, bro-mance is not a requirement for this odd couple caper, in which both cops are women – specifically, Sandra Bullock and Melissa McCarthy. Bullock is the uptight Ashburn to McCarthy’s loose cannon Mullins, the Felix to her Oscar, the Danny Glover to her Mel Gibson. They’ve been paired against their wills to ferret out a Boston drug lord. Maybe they’ll exploit each other’s foibles in the process, maybe even find an unexpected friend. (I’ll give them this – at no time does either detective say she is getting too old for this shit.) """<|im_end|>
<|im_start|>assistant
| REVIEW: Melissa McCarthy brings ‘The Heat’
It’s interesting how a film can be so familiar and so unusual at the same time. Take The Heat. Pairing an A-list movie star with a proven comic talent for a buddy cop comedy is hardly a fresh idea. 48 Hours, Rush Hour, The Other Guys – it’s been done, and it doesn’t always work. Still, it is a well-worn concept that often delivers enough laughs to merit a couple of hours. Now, thanks mostly to the deserved popularity of Bridesmaids, it has finally occurred to someone in Hollywood that women can shoulder an R-rated comedy. So, bro-mance is not a requirement for this odd couple caper, in which both cops are women – specifically, Sandra Bullock and Melissa McCarthy. Bullock is the uptight Ashburn to McCarthy’s loose cannon Mullins, the Felix to her Oscar, the Danny Glover to her Mel Gibson. They’ve been paired against their wills to ferret out a Boston drug lord. Maybe they’ll exploit each other’s foibles in the process, maybe even find an unexpected friend. (I’ll give them this – at no time does either detective say she is getting too old for this shit.) | [
{
"from": "human",
"value": "Text: REVIEW: Melissa McCarthy brings ‘The Heat’\n\nIt’s interesting how a film can be so familiar and so unusual at the same time. Take The Heat. Pairing an A-list movie star with a proven comic talent for a buddy cop comedy is hardly a fresh idea. 48 Hours, Rush Hour, The Other Guys – it’s been done, and it doesn’t always work. Still, it is a well-worn concept that often delivers enough laughs to merit a couple of hours. Now, thanks mostly to the deserved popularity of Bridesmaids, it has finally occurred to someone in Hollywood that women can shoulder an R-rated comedy. So, bro-mance is not a requirement for this odd couple caper, in which both cops are women – specifically, Sandra Bullock and Melissa McCarthy. Bullock is the uptight Ashburn to McCarthy’s loose cannon Mullins, the Felix to her Oscar, the Danny Glover to her Mel Gibson. They’ve been paired against their wills to ferret out a Boston drug lord. Maybe they’ll exploit each other’s foibles in the process, maybe even find an unexpected friend. (I’ll give them this – at no time does either detective say she is getting too old for this shit.)"
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes movie in the text?"
},
{
"from": "gpt",
"value": "[\"The Heat\", \"48 Hours\", \"Rush Hour\", \"The Other Guys\", \"Bridesmaids\"]"
},
{
"from": "human",
"value": "What describes location in the text?"
},
{
"from": "gpt",
"value": "[\"Hollywood\", \"Boston\"]"
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[\"Melissa McCarthy\", \"Sandra Bullock\", \"Ashburn\", \"Mullins\", \"Felix\", \"Oscar\", \"Danny Glover\", \"Mel Gibson\"]"
},
{
"from": "human",
"value": "What describes Brand in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Occupation in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes data in the text?"
},
{
"from": "gpt",
"value": "[]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Blofield, near Norwich, Norfolk, Brundall, United Kingdom
Contact Details
Description of The Cowshed
The Cowshed is a thatched, single-storey, detached barn conversion located in the rural Norfolk countryside. It lies just outside the village of Blofield, which is an ideal location for exploring the Norfolk Broads. Wroxham, the ’capital of the Broads’, is just 4 miles away. There are riverside cafes and inns, lots o..... """<|im_end|>
<|im_start|>assistant
| Blofield, near Norwich, Norfolk, Brundall, United Kingdom
Contact Details
Description of The Cowshed
The Cowshed is a thatched, single-storey, detached barn conversion located in the rural Norfolk countryside. It lies just outside the village of Blofield, which is an ideal location for exploring the Norfolk Broads. Wroxham, the ’capital of the Broads’, is just 4 miles away. There are riverside cafes and inns, lots o..... | [
{
"from": "human",
"value": "Text: Blofield, near Norwich, Norfolk, Brundall, United Kingdom\n\nContact Details\n\nDescription of The Cowshed\n\nThe Cowshed is a thatched, single-storey, detached barn conversion located in the rural Norfolk countryside. It lies just outside the village of Blofield, which is an ideal location for exploring the Norfolk Broads. Wroxham, the ’capital of the Broads’, is just 4 miles away. There are riverside cafes and inns, lots o....."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes disease in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Location in the text?"
},
{
"from": "gpt",
"value": "[\"Blofield\", \"Norwich\", \"Norfolk\", \"Brundall\", \"United Kingdom\", \"Norfolk countryside\", \"Wroxham\", \"Norfolk Broads\"]"
},
{
"from": "human",
"value": "What describes Facility in the text?"
},
{
"from": "gpt",
"value": "[\"The Cowshed\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Club president UIi Hoeness: Bayern Munich could have signed Rafinha & Sami Khedira last summer
The 59-year-old revealed the club had agreed deals for the two players, but former coach Louis Van Gaal pulled the plug, insisting there was no need for investment """<|im_end|>
<|im_start|>assistant
| Club president UIi Hoeness: Bayern Munich could have signed Rafinha & Sami Khedira last summer
The 59-year-old revealed the club had agreed deals for the two players, but former coach Louis Van Gaal pulled the plug, insisting there was no need for investment | [
{
"from": "human",
"value": "Text: Club president UIi Hoeness: Bayern Munich could have signed Rafinha & Sami Khedira last summer\n\nThe 59-year-old revealed the club had agreed deals for the two players, but former coach Louis Van Gaal pulled the plug, insisting there was no need for investment"
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[\"UIi Hoeness\", \"Rafinha\", \"Sami Khedira\", \"Louis Van Gaal\"]"
},
{
"from": "human",
"value": "What describes Invention in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes organization in the text?"
},
{
"from": "gpt",
"value": "[\"Bayern Munich\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Supporting Radiation Therapy Patients with Limited Health Literacy. Health literacy is one of the most important determinants of patient outcome. Literacy levels are influenced by factors such as formal education status, socioeconomic circumstances, age, language, cultural background, and employment status. Few health professionals are aware of health literacy issues, and even fewer can accurately address them. The purpose of this review article was to bring attention to the issue of health literacy, to provide information on how to identify patients at risk of limited health literacy, and to develop communication strategies designed to support cancer patients and their families. This article also aimed to develop and identify specific tools for radiation therapists and the radiation medical science community based on literature, evidence, and educational material from nursing and other allied professions. Health care organizations and professionals need to be aware of their duty to ensure that patients fully comprehend both the complex and simple information presented. Improving comprehension related to health choices leads to better decision making by the patient, improves patient outcomes, reduces hospitalization rates, and cuts health care costs. """<|im_end|>
<|im_start|>assistant
| Supporting Radiation Therapy Patients with Limited Health Literacy. Health literacy is one of the most important determinants of patient outcome. Literacy levels are influenced by factors such as formal education status, socioeconomic circumstances, age, language, cultural background, and employment status. Few health professionals are aware of health literacy issues, and even fewer can accurately address them. The purpose of this review article was to bring attention to the issue of health literacy, to provide information on how to identify patients at risk of limited health literacy, and to develop communication strategies designed to support cancer patients and their families. This article also aimed to develop and identify specific tools for radiation therapists and the radiation medical science community based on literature, evidence, and educational material from nursing and other allied professions. Health care organizations and professionals need to be aware of their duty to ensure that patients fully comprehend both the complex and simple information presented. Improving comprehension related to health choices leads to better decision making by the patient, improves patient outcomes, reduces hospitalization rates, and cuts health care costs. | [
{
"from": "human",
"value": "Text: Supporting Radiation Therapy Patients with Limited Health Literacy. Health literacy is one of the most important determinants of patient outcome. Literacy levels are influenced by factors such as formal education status, socioeconomic circumstances, age, language, cultural background, and employment status. Few health professionals are aware of health literacy issues, and even fewer can accurately address them. The purpose of this review article was to bring attention to the issue of health literacy, to provide information on how to identify patients at risk of limited health literacy, and to develop communication strategies designed to support cancer patients and their families. This article also aimed to develop and identify specific tools for radiation therapists and the radiation medical science community based on literature, evidence, and educational material from nursing and other allied professions. Health care organizations and professionals need to be aware of their duty to ensure that patients fully comprehend both the complex and simple information presented. Improving comprehension related to health choices leads to better decision making by the patient, improves patient outcomes, reduces hospitalization rates, and cuts health care costs."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes Person in the text?"
},
{
"from": "gpt",
"value": "[\"Radiation Therapy Patients\", \"health professionals\", \"patients\", \"cancer patients\", \"families\", \"radiation therapists\", \"professionals\"]"
},
{
"from": "human",
"value": "What describes Concept in the text?"
},
{
"from": "gpt",
"value": "[\"Health Literacy\", \"patient outcome\", \"formal education status\", \"socioeconomic circumstances\", \"age\", \"language\", \"cultural background\", \"employment status\", \"health literacy issues\", \"review article\", \"risk of limited health literacy\", \"communication strategies\", \"specific tools\", \"radiation medical science community\", \"literature\", \"evidence\", \"educational material\", \"nursing\", \"allied professions\", \"duty\", \"simple information\", \"comprehension\", \"health choices\", \"decision making\", \"patient outcomes\", \"hospitalization rates\", \"health care costs\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Thirty percent of Americans aren't satisfied with their jobs, according to statistics from the Pew Research Center last October. This may not seem like a high percentage, but it adds up to around 95.67 million US adults who aren't doing what they love at least five days a week. Jody Miller, author and CEO of C2C Executive Search & Strategic Management, has made it her mission to help unhappy employees find careers they love. Her upcoming book, "From Drift to Shift," is a collection of stories that follows individuals as they pursued their own definitions of success, many who left lucrative but dissatisfying jobs behind. Advertisement
"I cover a lot of audiences, and that’s what this book came from, I wanted to get deeper into people’s stories," Miller told us Wednesday. "Why people are changing and what’s causing them to make a shift, where is their happiness? That goes across generations, and it’s different for each." Millennials are the most unhappy at work across all age groups, and only 29 percent report engagement at their jobs. "The millennial generation is making their own path," Miller explained. """<|im_end|>
<|im_start|>assistant
| Thirty percent of Americans aren't satisfied with their jobs, according to statistics from the Pew Research Center last October. This may not seem like a high percentage, but it adds up to around 95.67 million US adults who aren't doing what they love at least five days a week. Jody Miller, author and CEO of C2C Executive Search & Strategic Management, has made it her mission to help unhappy employees find careers they love. Her upcoming book, "From Drift to Shift," is a collection of stories that follows individuals as they pursued their own definitions of success, many who left lucrative but dissatisfying jobs behind. Advertisement
"I cover a lot of audiences, and that’s what this book came from, I wanted to get deeper into people’s stories," Miller told us Wednesday. "Why people are changing and what’s causing them to make a shift, where is their happiness? That goes across generations, and it’s different for each." Millennials are the most unhappy at work across all age groups, and only 29 percent report engagement at their jobs. "The millennial generation is making their own path," Miller explained. | [
{
"from": "human",
"value": "Text: Thirty percent of Americans aren't satisfied with their jobs, according to statistics from the Pew Research Center last October. This may not seem like a high percentage, but it adds up to around 95.67 million US adults who aren't doing what they love at least five days a week. Jody Miller, author and CEO of C2C Executive Search & Strategic Management, has made it her mission to help unhappy employees find careers they love. Her upcoming book, \"From Drift to Shift,\" is a collection of stories that follows individuals as they pursued their own definitions of success, many who left lucrative but dissatisfying jobs behind. Advertisement\n\n\"I cover a lot of audiences, and that’s what this book came from, I wanted to get deeper into people’s stories,\" Miller told us Wednesday. \"Why people are changing and what’s causing them to make a shift, where is their happiness? That goes across generations, and it’s different for each.\" Millennials are the most unhappy at work across all age groups, and only 29 percent report engagement at their jobs. \"The millennial generation is making their own path,\" Miller explained."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes Demographic in the text?"
},
{
"from": "gpt",
"value": "[\"Millennials\"]"
},
{
"from": "human",
"value": "What describes Title in the text?"
},
{
"from": "gpt",
"value": "[\"Drift to Shift\"]"
},
{
"from": "human",
"value": "What describes treatment in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes city in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Organization in the text?"
},
{
"from": "gpt",
"value": "[\"Pew Research Center\", \"C2C Executive Search & Strategic Management\"]"
},
{
"from": "human",
"value": "What describes Date in the text?"
},
{
"from": "gpt",
"value": "[\"Wednesday\"]"
},
{
"from": "human",
"value": "What describes Nationality in the text?"
},
{
"from": "gpt",
"value": "[\"Americans\", \"US\"]"
},
{
"from": "human",
"value": "What describes Person in the text?"
},
{
"from": "gpt",
"value": "[\"Jody Miller\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" [Osteoma cutis of the forehead]. A 61-year-old woman with a focus of lamellar bone with bone-marrow in the corium of the forehead skin, the socalled Osteoma Cutis is reported. A review of the literature revealed 416 reports of bone structure in the integument. Osteosis Cutis Faciei is a rare and a harmless illness occurring in women aged 40-80. While the clinical diagnosis causes great problems, the histological appearances of a cutaneous bone-structure can be clearly recognised. The therapy of the cutaneous bone structure is confined to biopsy excision with a good margin of healthy tissue. """<|im_end|>
<|im_start|>assistant
| [Osteoma cutis of the forehead]. A 61-year-old woman with a focus of lamellar bone with bone-marrow in the corium of the forehead skin, the socalled Osteoma Cutis is reported. A review of the literature revealed 416 reports of bone structure in the integument. Osteosis Cutis Faciei is a rare and a harmless illness occurring in women aged 40-80. While the clinical diagnosis causes great problems, the histological appearances of a cutaneous bone-structure can be clearly recognised. The therapy of the cutaneous bone structure is confined to biopsy excision with a good margin of healthy tissue. | [
{
"from": "human",
"value": "Text: [Osteoma cutis of the forehead]. A 61-year-old woman with a focus of lamellar bone with bone-marrow in the corium of the forehead skin, the socalled Osteoma Cutis is reported. A review of the literature revealed 416 reports of bone structure in the integument. Osteosis Cutis Faciei is a rare and a harmless illness occurring in women aged 40-80. While the clinical diagnosis causes great problems, the histological appearances of a cutaneous bone-structure can be clearly recognised. The therapy of the cutaneous bone structure is confined to biopsy excision with a good margin of healthy tissue."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes medical condition in the text?"
},
{
"from": "gpt",
"value": "[\"Osteoma Cutis\", \"Osteosis Cutis Faciei\", \"illness\", \"clinical diagnosis\"]"
},
{
"from": "human",
"value": "What describes simple app in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[\"woman\", \"women\"]"
},
{
"from": "human",
"value": "What describes publication in the text?"
},
{
"from": "gpt",
"value": "[\"literature\"]"
},
{
"from": "human",
"value": "What describes terminals in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes anatomical structure in the text?"
},
{
"from": "gpt",
"value": "[\"lamellar bone\", \"bone-marrow\", \"corium\", \"forehead skin\", \"bone structure\", \"histological appearances\", \"cutaneous bone-structure\", \"margin of healthy tissue\"]"
},
{
"from": "human",
"value": "What describes medical treatment in the text?"
},
{
"from": "gpt",
"value": "[\"therapy\", \"biopsy excision\"]"
},
{
"from": "human",
"value": "What describes location in the text?"
},
{
"from": "gpt",
"value": "[]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Pages
What you looking for? Tuesday, May 29, 2012
I had an interesting conversation today...
Well perhaps not a conversation, at least not yet, more like an exchange with akimoto89 over at This Shinee World. Their opening bit followed by the rest and my response after the jump. Mind you it is a wall of text but I think it's worth reading and also keep in mind that I didn't realize that this person may not be my age when I offered to feature them for Cosplay Wednesdays. I don't know if they're 14 or 40, obviously one of those is an inappropriate age to offer showing pictures of them on the internet. I leave the distinction to you and the FBI. I guess what I'm trying to say is: Please don't arrest me Chris Hanson! akimoto89:
I inadvertently stumbled upon a shit-show this evening, and it has consumed nearly all of my allotted time for sleep. To make things short, there is a guy named Chris Spags who posted a rather derogatory (in my opinion) slideshow of Black Widow cosplay on his website, and when the cosplay community found out, chaos ensued. """<|im_end|>
<|im_start|>assistant
| Pages
What you looking for? Tuesday, May 29, 2012
I had an interesting conversation today...
Well perhaps not a conversation, at least not yet, more like an exchange with akimoto89 over at This Shinee World. Their opening bit followed by the rest and my response after the jump. Mind you it is a wall of text but I think it's worth reading and also keep in mind that I didn't realize that this person may not be my age when I offered to feature them for Cosplay Wednesdays. I don't know if they're 14 or 40, obviously one of those is an inappropriate age to offer showing pictures of them on the internet. I leave the distinction to you and the FBI. I guess what I'm trying to say is: Please don't arrest me Chris Hanson! akimoto89:
I inadvertently stumbled upon a shit-show this evening, and it has consumed nearly all of my allotted time for sleep. To make things short, there is a guy named Chris Spags who posted a rather derogatory (in my opinion) slideshow of Black Widow cosplay on his website, and when the cosplay community found out, chaos ensued. | [
{
"from": "human",
"value": "Text: Pages\n\nWhat you looking for? Tuesday, May 29, 2012\n\nI had an interesting conversation today...\n\nWell perhaps not a conversation, at least not yet, more like an exchange with akimoto89 over at This Shinee World. Their opening bit followed by the rest and my response after the jump. Mind you it is a wall of text but I think it's worth reading and also keep in mind that I didn't realize that this person may not be my age when I offered to feature them for Cosplay Wednesdays. I don't know if they're 14 or 40, obviously one of those is an inappropriate age to offer showing pictures of them on the internet. I leave the distinction to you and the FBI. I guess what I'm trying to say is: Please don't arrest me Chris Hanson! akimoto89:\n\nI inadvertently stumbled upon a shit-show this evening, and it has consumed nearly all of my allotted time for sleep. To make things short, there is a guy named Chris Spags who posted a rather derogatory (in my opinion) slideshow of Black Widow cosplay on his website, and when the cosplay community found out, chaos ensued."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes date in the text?"
},
{
"from": "gpt",
"value": "[\"Tuesday, May 29, 2012\"]"
},
{
"from": "human",
"value": "What describes title in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[\"akimoto89\", \"Chris Hanson\", \"Chris Spags\"]"
},
{
"from": "human",
"value": "What describes fictional character in the text?"
},
{
"from": "gpt",
"value": "[\"Black Widow\"]"
},
{
"from": "human",
"value": "What describes organization in the text?"
},
{
"from": "gpt",
"value": "[\"This Shinee World\", \"FBI\"]"
},
{
"from": "human",
"value": "What describes event in the text?"
},
{
"from": "gpt",
"value": "[\"Cosplay Wednesdays\"]"
},
{
"from": "human",
"value": "What describes group in the text?"
},
{
"from": "gpt",
"value": "[\"cosplay community\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Kris Humphries Plans to Sign His Divorce Papers
After lying low with family and friends in his home state of Minnesota for the past two weeks, Kris Humphries surfaced in New York on Monday evening. Humphries, who is in town "on business," says a source close to the 26-year-old, is working on moving on from his "devastating" split after 72 days of marriage to Kim Kardashian. While reports surfaced that Humphries is refusing to sign divorce papers and that he's hired a new lawyer, Minnesota-based Lee Hutton, to challenge Kardashian in court, sources close to Humphries insist neither story is true. "He will be signing the papers," says a source close to Humphries, adding that there will be no war between the two. And as for the reportedly new legal team: "There's nothing new about it," says the source. "[Hutton's] been his lawyer since day one." """<|im_end|>
<|im_start|>assistant
| Kris Humphries Plans to Sign His Divorce Papers
After lying low with family and friends in his home state of Minnesota for the past two weeks, Kris Humphries surfaced in New York on Monday evening. Humphries, who is in town "on business," says a source close to the 26-year-old, is working on moving on from his "devastating" split after 72 days of marriage to Kim Kardashian. While reports surfaced that Humphries is refusing to sign divorce papers and that he's hired a new lawyer, Minnesota-based Lee Hutton, to challenge Kardashian in court, sources close to Humphries insist neither story is true. "He will be signing the papers," says a source close to Humphries, adding that there will be no war between the two. And as for the reportedly new legal team: "There's nothing new about it," says the source. "[Hutton's] been his lawyer since day one." | [
{
"from": "human",
"value": "Text: Kris Humphries Plans to Sign His Divorce Papers\n\nAfter lying low with family and friends in his home state of Minnesota for the past two weeks, Kris Humphries surfaced in New York on Monday evening. Humphries, who is in town \"on business,\" says a source close to the 26-year-old, is working on moving on from his \"devastating\" split after 72 days of marriage to Kim Kardashian. While reports surfaced that Humphries is refusing to sign divorce papers and that he's hired a new lawyer, Minnesota-based Lee Hutton, to challenge Kardashian in court, sources close to Humphries insist neither story is true. \"He will be signing the papers,\" says a source close to Humphries, adding that there will be no war between the two. And as for the reportedly new legal team: \"There's nothing new about it,\" says the source. \"[Hutton's] been his lawyer since day one.\""
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes Demonym in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Person in the text?"
},
{
"from": "gpt",
"value": "[\"Kris Humphries\", \"Kim Kardashian\", \"Lee Hutton\"]"
},
{
"from": "human",
"value": "What describes Location in the text?"
},
{
"from": "gpt",
"value": "[\"Minnesota\", \"New York\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" The term hemovigilance is derived from the Greek word 'hema' = blood and the Latin word 'vigilans' = watchful. Hemovigilance is defined as a set of surveillance procedures covering whole transfusion chain from the collection of blood and its components to the follow up of its recipients, intended to collect and access information on unexpected or undesirable effects resulting from the therapeutic use of labile blood products, and to prevent their occurrence and recurrence.\[[@ref1]\] Thus, the ultimate goal of a hemovigilance system is to improve the safety of blood transfusion. Historical aspects {#sec1-1}
==================
The pioneering work on hemovigilance started in France in 1994 with the setup of monitoring systems by Blood Transfusion Committees and establishing a national hemovigilance system.\[[@ref2]\] Later, in 1995 with an objective to improve public confidence in safe blood supply, the European Council published a resolution. """<|im_end|>
<|im_start|>assistant
| The term hemovigilance is derived from the Greek word 'hema' = blood and the Latin word 'vigilans' = watchful. Hemovigilance is defined as a set of surveillance procedures covering whole transfusion chain from the collection of blood and its components to the follow up of its recipients, intended to collect and access information on unexpected or undesirable effects resulting from the therapeutic use of labile blood products, and to prevent their occurrence and recurrence.\[[@ref1]\] Thus, the ultimate goal of a hemovigilance system is to improve the safety of blood transfusion. Historical aspects {#sec1-1}
==================
The pioneering work on hemovigilance started in France in 1994 with the setup of monitoring systems by Blood Transfusion Committees and establishing a national hemovigilance system.\[[@ref2]\] Later, in 1995 with an objective to improve public confidence in safe blood supply, the European Council published a resolution. | [
{
"from": "human",
"value": "Text: The term hemovigilance is derived from the Greek word 'hema' = blood and the Latin word 'vigilans' = watchful. Hemovigilance is defined as a set of surveillance procedures covering whole transfusion chain from the collection of blood and its components to the follow up of its recipients, intended to collect and access information on unexpected or undesirable effects resulting from the therapeutic use of labile blood products, and to prevent their occurrence and recurrence.\\[[@ref1]\\] Thus, the ultimate goal of a hemovigilance system is to improve the safety of blood transfusion. Historical aspects {#sec1-1}\n==================\n\nThe pioneering work on hemovigilance started in France in 1994 with the setup of monitoring systems by Blood Transfusion Committees and establishing a national hemovigilance system.\\[[@ref2]\\] Later, in 1995 with an objective to improve public confidence in safe blood supply, the European Council published a resolution."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[\"recipients\"]"
},
{
"from": "human",
"value": "What describes organization in the text?"
},
{
"from": "gpt",
"value": "[\"Blood Transfusion Committees\", \"national hemovigilance system\", \"European Council\"]"
},
{
"from": "human",
"value": "What describes Animal in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes language in the text?"
},
{
"from": "gpt",
"value": "[\"Greek\", \"Latin\"]"
},
{
"from": "human",
"value": "What describes concept in the text?"
},
{
"from": "gpt",
"value": "[\"hemovigilance\", \"surveillance procedures\", \"transfusion chain\", \"safety\", \"resolution\", \"public confidence\", \"safe blood supply\"]"
},
{
"from": "human",
"value": "What describes personality trait in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes substance in the text?"
},
{
"from": "gpt",
"value": "[\"blood\", \"components\", \"labile blood products\"]"
},
{
"from": "human",
"value": "What describes location in the text?"
},
{
"from": "gpt",
"value": "[\"France\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" The information age has produced an explosion of content for people to read. This content includes traditional media such as books, magazines, newspapers, newsletters, manuals, guides, references, articles, reports, documents, etc. that exist in print, as well as electronic media in which the aforesaid works are provided in digital form. The Internet has further enabled an even wider publication of content in the form of document downloads, such as portable document files and e-books. Given the vast sea of content that people encounter, it is not uncommon for a person to read something and later recall a memorable phrase or subject, but not remember the exact source of the phrase or subject. The person may attempt to obtain recently read items in an effort to find the phrase or subject, but searching these items in this manner can be tedious, time consuming, and unfruitful. A person may also simply wish to research a particular subject in a set of books or other content that the person owns, has read, or is otherwise aware of. Separately, various search engines have attempted to catalogue Web pages available on the Internet. """<|im_end|>
<|im_start|>assistant
| The information age has produced an explosion of content for people to read. This content includes traditional media such as books, magazines, newspapers, newsletters, manuals, guides, references, articles, reports, documents, etc. that exist in print, as well as electronic media in which the aforesaid works are provided in digital form. The Internet has further enabled an even wider publication of content in the form of document downloads, such as portable document files and e-books. Given the vast sea of content that people encounter, it is not uncommon for a person to read something and later recall a memorable phrase or subject, but not remember the exact source of the phrase or subject. The person may attempt to obtain recently read items in an effort to find the phrase or subject, but searching these items in this manner can be tedious, time consuming, and unfruitful. A person may also simply wish to research a particular subject in a set of books or other content that the person owns, has read, or is otherwise aware of. Separately, various search engines have attempted to catalogue Web pages available on the Internet. | [
{
"from": "human",
"value": "Text: The information age has produced an explosion of content for people to read. This content includes traditional media such as books, magazines, newspapers, newsletters, manuals, guides, references, articles, reports, documents, etc. that exist in print, as well as electronic media in which the aforesaid works are provided in digital form. The Internet has further enabled an even wider publication of content in the form of document downloads, such as portable document files and e-books. Given the vast sea of content that people encounter, it is not uncommon for a person to read something and later recall a memorable phrase or subject, but not remember the exact source of the phrase or subject. The person may attempt to obtain recently read items in an effort to find the phrase or subject, but searching these items in this manner can be tedious, time consuming, and unfruitful. A person may also simply wish to research a particular subject in a set of books or other content that the person owns, has read, or is otherwise aware of. Separately, various search engines have attempted to catalogue Web pages available on the Internet."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes digital media in the text?"
},
{
"from": "gpt",
"value": "[\"Internet\", \"document downloads\", \"portable document files\", \"e-books\", \"Web pages\"]"
},
{
"from": "human",
"value": "What describes cell process in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes nationality in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes concept in the text?"
},
{
"from": "gpt",
"value": "[\"information age\", \"content\", \"electronic media\", \"person\", \"memorable phrase\", \"subject\", \"source\", \"research\", \"search engines\"]"
},
{
"from": "human",
"value": "What describes print media in the text?"
},
{
"from": "gpt",
"value": "[\"books\", \"magazines\", \"newspapers\", \"newsletters\", \"manuals\", \"guides\", \"references\", \"articles\", \"reports\", \"documents\", \"set of books\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Lesser known Superman powers:
– Double-jointed pinky-toes
– Opening a Capri-Sun on the first try
– Not commenting on a Donald Trump related Facebook post
– Holding his pee for an entire road trip """<|im_end|>
<|im_start|>assistant
| Lesser known Superman powers:
– Double-jointed pinky-toes
– Opening a Capri-Sun on the first try
– Not commenting on a Donald Trump related Facebook post
– Holding his pee for an entire road trip | [
{
"from": "human",
"value": "Text: Lesser known Superman powers:\n\n– Double-jointed pinky-toes\n\n– Opening a Capri-Sun on the first try\n\n– Not commenting on a Donald Trump related Facebook post\n\n– Holding his pee for an entire road trip"
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes beverage in the text?"
},
{
"from": "gpt",
"value": "[\"Capri-Sun\"]"
},
{
"from": "human",
"value": "What describes quota overview in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[\"Donald Trump\"]"
},
{
"from": "human",
"value": "What describes superhero in the text?"
},
{
"from": "gpt",
"value": "[\"Superman\"]"
},
{
"from": "human",
"value": "What describes language in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes city in the text?"
},
{
"from": "gpt",
"value": "[]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" With Kennedy's Death, Loss of Major Figure in U.S. Immigration Policy
You are here
With Kennedy's Death, Loss of Major Figure in U.S. Immigration Policy
September 15, 2009
Policy Beat
By Muzaffar Chishti, Claire Bergeron
As Congress and the Obama administration grapple with immigration reform in the coming months, they will be doing so without the assistance of the most dominant political figure in the immigration policy debate for the past four decades: Senator Edward M. Kennedy. Kennedy was the longest-serving member of the Senate Judiciary Committee's subcommittee on immigration. While people across the political spectrum do not agree on his role, he had a greater impact than any other lawmaker in crafting many of the immigration bills of recent history. As a junior senator from Massachusetts, Kennedy helped lead efforts to pass the Immigration Act of 1965, which incorporated proposals for immigration reform that his brother, President John F. Kennedy, had submitted to Congress in 1963. The 1965 act marked a major milestone in U.S. immigration history by repealing the national-origins quota system, which had served as the basis of U.S. immigration policy since the 1920s. That system favored migration from western European countries, while severely limiting migration from eastern and southern Europe and barring most migration from Asia. """<|im_end|>
<|im_start|>assistant
| With Kennedy's Death, Loss of Major Figure in U.S. Immigration Policy
You are here
With Kennedy's Death, Loss of Major Figure in U.S. Immigration Policy
September 15, 2009
Policy Beat
By Muzaffar Chishti, Claire Bergeron
As Congress and the Obama administration grapple with immigration reform in the coming months, they will be doing so without the assistance of the most dominant political figure in the immigration policy debate for the past four decades: Senator Edward M. Kennedy. Kennedy was the longest-serving member of the Senate Judiciary Committee's subcommittee on immigration. While people across the political spectrum do not agree on his role, he had a greater impact than any other lawmaker in crafting many of the immigration bills of recent history. As a junior senator from Massachusetts, Kennedy helped lead efforts to pass the Immigration Act of 1965, which incorporated proposals for immigration reform that his brother, President John F. Kennedy, had submitted to Congress in 1963. The 1965 act marked a major milestone in U.S. immigration history by repealing the national-origins quota system, which had served as the basis of U.S. immigration policy since the 1920s. That system favored migration from western European countries, while severely limiting migration from eastern and southern Europe and barring most migration from Asia. | [
{
"from": "human",
"value": "Text: With Kennedy's Death, Loss of Major Figure in U.S. Immigration Policy\n\nYou are here\n\nWith Kennedy's Death, Loss of Major Figure in U.S. Immigration Policy\n\nSeptember 15, 2009\n\nPolicy Beat\n\nBy Muzaffar Chishti, Claire Bergeron\n\nAs Congress and the Obama administration grapple with immigration reform in the coming months, they will be doing so without the assistance of the most dominant political figure in the immigration policy debate for the past four decades: Senator Edward M. Kennedy. Kennedy was the longest-serving member of the Senate Judiciary Committee's subcommittee on immigration. While people across the political spectrum do not agree on his role, he had a greater impact than any other lawmaker in crafting many of the immigration bills of recent history. As a junior senator from Massachusetts, Kennedy helped lead efforts to pass the Immigration Act of 1965, which incorporated proposals for immigration reform that his brother, President John F. Kennedy, had submitted to Congress in 1963. The 1965 act marked a major milestone in U.S. immigration history by repealing the national-origins quota system, which had served as the basis of U.S. immigration policy since the 1920s. That system favored migration from western European countries, while severely limiting migration from eastern and southern Europe and barring most migration from Asia."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[\"Kennedy\", \"Senator Edward M. Kennedy\", \"President John F. Kennedy\"]"
},
{
"from": "human",
"value": "What describes method in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes location in the text?"
},
{
"from": "gpt",
"value": "[\"U.S.\", \"Massachusetts\", \"western European countries\", \"eastern and southern Europe\", \"Asia\"]"
},
{
"from": "human",
"value": "What describes organization in the text?"
},
{
"from": "gpt",
"value": "[\"Congress\", \"Obama administration\", \"Senate Judiciary Committee\"]"
},
{
"from": "human",
"value": "What describes variable in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes object in the text?"
},
{
"from": "gpt",
"value": "[]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" “ I have worked with Mike Liu in MP Manufacturing for over 6 years. He is an honest person who works very hard to exceed the customer’s expectations. His team is very thorough and the jobs he did for me were on time and at cost. It has been a pleasure to work with Mike and I have also been able to build a friendship with him ” """<|im_end|>
<|im_start|>assistant
| “ I have worked with Mike Liu in MP Manufacturing for over 6 years. He is an honest person who works very hard to exceed the customer’s expectations. His team is very thorough and the jobs he did for me were on time and at cost. It has been a pleasure to work with Mike and I have also been able to build a friendship with him ” | [
{
"from": "human",
"value": "Text: “ I have worked with Mike Liu in MP Manufacturing for over 6 years. He is an honest person who works very hard to exceed the customer’s expectations. His team is very thorough and the jobs he did for me were on time and at cost. It has been a pleasure to work with Mike and I have also been able to build a friendship with him ”"
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes Person in the text?"
},
{
"from": "gpt",
"value": "[\"Mike Liu\"]"
},
{
"from": "human",
"value": "What describes Organization in the text?"
},
{
"from": "gpt",
"value": "[\"MP Manufacturing\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" An overwhelming majority of Californians want to deport more illegal immigrants, and nearly half support President Trump's travel ban aimed at reducing terrorism, according to a new survey from the University of California at Berkeley's Haas Institute for a Fair and Inclusive Society. But in reporting the findings of the statewide December 2017 survey, the Haas Institute on Wednesday appeared to put a liberal spin on some of the results. For example, the headline of its news release reads, "Majority of Californians oppose border wall, support racial inclusion." But the actual data say that in California, "66 percent reject the idea that the U.S.-Mexico border wall is an important immigration policy priority" -- not that they oppose the wall entirely. And results also demonstrate that only 54 percent -- or slightly more than half -- of Californians "have positive views of Muslims," and only 51 percent "oppose banning people from majority-Muslim countries from entering the United States." Meanwhile, "59 percent find it important to increase deportations of those here without documentation." Nearly 80 percent, however, support a pathway to citizenship for so-called Dreamers, and "67 percent think undocumented immigrants should be able to purchase health insurance on the California state exchange." The Haas Institute concedes in its news release that "Californians hold some contradictory and troubling views." """<|im_end|>
<|im_start|>assistant
| An overwhelming majority of Californians want to deport more illegal immigrants, and nearly half support President Trump's travel ban aimed at reducing terrorism, according to a new survey from the University of California at Berkeley's Haas Institute for a Fair and Inclusive Society. But in reporting the findings of the statewide December 2017 survey, the Haas Institute on Wednesday appeared to put a liberal spin on some of the results. For example, the headline of its news release reads, "Majority of Californians oppose border wall, support racial inclusion." But the actual data say that in California, "66 percent reject the idea that the U.S.-Mexico border wall is an important immigration policy priority" -- not that they oppose the wall entirely. And results also demonstrate that only 54 percent -- or slightly more than half -- of Californians "have positive views of Muslims," and only 51 percent "oppose banning people from majority-Muslim countries from entering the United States." Meanwhile, "59 percent find it important to increase deportations of those here without documentation." Nearly 80 percent, however, support a pathway to citizenship for so-called Dreamers, and "67 percent think undocumented immigrants should be able to purchase health insurance on the California state exchange." The Haas Institute concedes in its news release that "Californians hold some contradictory and troubling views." | [
{
"from": "human",
"value": "Text: An overwhelming majority of Californians want to deport more illegal immigrants, and nearly half support President Trump's travel ban aimed at reducing terrorism, according to a new survey from the University of California at Berkeley's Haas Institute for a Fair and Inclusive Society. But in reporting the findings of the statewide December 2017 survey, the Haas Institute on Wednesday appeared to put a liberal spin on some of the results. For example, the headline of its news release reads, \"Majority of Californians oppose border wall, support racial inclusion.\" But the actual data say that in California, \"66 percent reject the idea that the U.S.-Mexico border wall is an important immigration policy priority\" -- not that they oppose the wall entirely. And results also demonstrate that only 54 percent -- or slightly more than half -- of Californians \"have positive views of Muslims,\" and only 51 percent \"oppose banning people from majority-Muslim countries from entering the United States.\" Meanwhile, \"59 percent find it important to increase deportations of those here without documentation.\" Nearly 80 percent, however, support a pathway to citizenship for so-called Dreamers, and \"67 percent think undocumented immigrants should be able to purchase health insurance on the California state exchange.\" The Haas Institute concedes in its news release that \"Californians hold some contradictory and troubling views.\""
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes Group in the text?"
},
{
"from": "gpt",
"value": "[\"Muslims\", \"Dreamers\"]"
},
{
"from": "human",
"value": "What describes Location in the text?"
},
{
"from": "gpt",
"value": "[\"Californians\", \"U.S.-Mexico\", \"majority-Muslim countries\", \"United States\"]"
},
{
"from": "human",
"value": "What describes Organization in the text?"
},
{
"from": "gpt",
"value": "[\"University of California\", \"Berkeley's Haas Institute for a Fair and Inclusive Society\", \"California state exchange\"]"
},
{
"from": "human",
"value": "What describes date in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Person in the text?"
},
{
"from": "gpt",
"value": "[\"illegal immigrants\", \"President Trump\", \"undocumented immigrants\"]"
},
{
"from": "human",
"value": "What describes medical condition in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Event in the text?"
},
{
"from": "gpt",
"value": "[\"terrorism\"]"
},
{
"from": "human",
"value": "What describes Field of Study in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Policy in the text?"
},
{
"from": "gpt",
"value": "[\"travel ban\", \"border wall\", \"health insurance\"]"
},
{
"from": "human",
"value": "What describes Concept in the text?"
},
{
"from": "gpt",
"value": "[\"racial inclusion\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Some of the fun of playing Dark Souls, and Demon's Souls before it, is the spectacle of the game and the sheer confusion you might feel when you first drop into the unforgiving world created by From Software. But that's not for everybody. Some people don't like to play their way through a game trial and error. I know, I know, those people are crazy, but it's still a valid approach to gaming. For those folks, the ones who like a little help, we present you with the official Dark Souls Quest Log, a glossy mag sent to reviewers to help them through the tougher, early bits of the game. Obviously, this contains some spoilers and a bit of hand-holding, so don't read it if you're not up for that. """<|im_end|>
<|im_start|>assistant
| Some of the fun of playing Dark Souls, and Demon's Souls before it, is the spectacle of the game and the sheer confusion you might feel when you first drop into the unforgiving world created by From Software. But that's not for everybody. Some people don't like to play their way through a game trial and error. I know, I know, those people are crazy, but it's still a valid approach to gaming. For those folks, the ones who like a little help, we present you with the official Dark Souls Quest Log, a glossy mag sent to reviewers to help them through the tougher, early bits of the game. Obviously, this contains some spoilers and a bit of hand-holding, so don't read it if you're not up for that. | [
{
"from": "human",
"value": "Text: Some of the fun of playing Dark Souls, and Demon's Souls before it, is the spectacle of the game and the sheer confusion you might feel when you first drop into the unforgiving world created by From Software. But that's not for everybody. Some people don't like to play their way through a game trial and error. I know, I know, those people are crazy, but it's still a valid approach to gaming. For those folks, the ones who like a little help, we present you with the official Dark Souls Quest Log, a glossy mag sent to reviewers to help them through the tougher, early bits of the game. Obviously, this contains some spoilers and a bit of hand-holding, so don't read it if you're not up for that."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes location in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes record in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes company in the text?"
},
{
"from": "gpt",
"value": "[\"From Software\"]"
},
{
"from": "human",
"value": "What describes video game in the text?"
},
{
"from": "gpt",
"value": "[\"Dark Souls\", \"Demon's Souls\"]"
},
{
"from": "human",
"value": "What describes profession in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes magazine in the text?"
},
{
"from": "gpt",
"value": "[\"Quest Log\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Blogs
Blogs / Finesse Partners with Kyriba to Enhance Cash Visibility and Controls for its Corporate Clients
April 10, 2018
Finesse Partners with Kyriba to Enhance Cash Visibility and Controls for its Corporate Clients
Finesse, the Dubai based #1 trusted systems integrator, announced a strategic channel sales partnership with Kyriba, the #1 global provider of cloud treasury and financial management solutions. The partnership will give Finesse’s more than 200 corporate clients access to Kyriba’s enterprise suite, enabling greater financial controls and decision support as part of their digital transformation. “Kyriba offers a category leading, secure financial management platform with important innovations in payments and risk management,” said Sunil Paul, Co-Founder and COO at Finesse. “Market volatility and U.S. tax reform are currently driving the need for improved cash visibility and secure payments that Kyriba is well suited to address. Finesse will offer Kyriba as part of our larger mission to serve our clients today and in the future with world-class solutions.”
With Kyriba, Finesse can address the pent-up demand for more secure and centralized financial management solutions, including payments, automated workflows, and real-time fraud detection. These cloud-based solutions help corporate clients compete in the market today with improved decision support. """<|im_end|>
<|im_start|>assistant
| Blogs
Blogs / Finesse Partners with Kyriba to Enhance Cash Visibility and Controls for its Corporate Clients
April 10, 2018
Finesse Partners with Kyriba to Enhance Cash Visibility and Controls for its Corporate Clients
Finesse, the Dubai based #1 trusted systems integrator, announced a strategic channel sales partnership with Kyriba, the #1 global provider of cloud treasury and financial management solutions. The partnership will give Finesse’s more than 200 corporate clients access to Kyriba’s enterprise suite, enabling greater financial controls and decision support as part of their digital transformation. “Kyriba offers a category leading, secure financial management platform with important innovations in payments and risk management,” said Sunil Paul, Co-Founder and COO at Finesse. “Market volatility and U.S. tax reform are currently driving the need for improved cash visibility and secure payments that Kyriba is well suited to address. Finesse will offer Kyriba as part of our larger mission to serve our clients today and in the future with world-class solutions.”
With Kyriba, Finesse can address the pent-up demand for more secure and centralized financial management solutions, including payments, automated workflows, and real-time fraud detection. These cloud-based solutions help corporate clients compete in the market today with improved decision support. | [
{
"from": "human",
"value": "Text: Blogs\n\nBlogs / Finesse Partners with Kyriba to Enhance Cash Visibility and Controls for its Corporate Clients\n\nApril 10, 2018\n\nFinesse Partners with Kyriba to Enhance Cash Visibility and Controls for its Corporate Clients\n\nFinesse, the Dubai based #1 trusted systems integrator, announced a strategic channel sales partnership with Kyriba, the #1 global provider of cloud treasury and financial management solutions. The partnership will give Finesse’s more than 200 corporate clients access to Kyriba’s enterprise suite, enabling greater financial controls and decision support as part of their digital transformation. “Kyriba offers a category leading, secure financial management platform with important innovations in payments and risk management,” said Sunil Paul, Co-Founder and COO at Finesse. “Market volatility and U.S. tax reform are currently driving the need for improved cash visibility and secure payments that Kyriba is well suited to address. Finesse will offer Kyriba as part of our larger mission to serve our clients today and in the future with world-class solutions.”\n\nWith Kyriba, Finesse can address the pent-up demand for more secure and centralized financial management solutions, including payments, automated workflows, and real-time fraud detection. These cloud-based solutions help corporate clients compete in the market today with improved decision support."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes Location in the text?"
},
{
"from": "gpt",
"value": "[\"Dubai\", \"U.S.\"]"
},
{
"from": "human",
"value": "What describes Job Title in the text?"
},
{
"from": "gpt",
"value": "[\"Co-Founder\", \"COO\"]"
},
{
"from": "human",
"value": "What describes Organization in the text?"
},
{
"from": "gpt",
"value": "[\"Finesse\", \"Kyriba\"]"
},
{
"from": "human",
"value": "What describes medical condition in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Number in the text?"
},
{
"from": "gpt",
"value": "[\"200\"]"
},
{
"from": "human",
"value": "What describes Person in the text?"
},
{
"from": "gpt",
"value": "[\"Sunil Paul\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" The John Brooks Recovery Center (JBRC) was founded in Atlantic City during January of 1969 (as NARCO, Inc.) by a group of six Atlantic City residents with the assistance of the Episcopalian Diocese of New Jersey and the Division of Urban Concerns. John Brooks a recovering heroin addict and ex-convict is usually identified as the driving force and subsequent Executive Director for many years. At that time JBRC was an outpatient, storefront treatment center for drug abusers. The primary mission was to provide quality treatment for minority, indigent drug abusers within the area of Atlantic City. A secondary but very vital mission was to provide prevention and education in the area for groups such as churches, schools, social clubs and civic organizations.
In August of 1970, NARCO received its first grant of $57,940 from the New Jersey Department of Community Affairs. This grant, along with $35,000 provided by the Episcopalian United Thanks Fund, enabled NARCO to expand its treatment capacities to a 24,000 square foot building. NARCO received immeasurable support from local labor unions, businesses and local municipalities in its efforts to convert this building, once an ice rink, into a residential treatment center for drug addiction. """<|im_end|>
<|im_start|>assistant
| The John Brooks Recovery Center (JBRC) was founded in Atlantic City during January of 1969 (as NARCO, Inc.) by a group of six Atlantic City residents with the assistance of the Episcopalian Diocese of New Jersey and the Division of Urban Concerns. John Brooks a recovering heroin addict and ex-convict is usually identified as the driving force and subsequent Executive Director for many years. At that time JBRC was an outpatient, storefront treatment center for drug abusers. The primary mission was to provide quality treatment for minority, indigent drug abusers within the area of Atlantic City. A secondary but very vital mission was to provide prevention and education in the area for groups such as churches, schools, social clubs and civic organizations.
In August of 1970, NARCO received its first grant of $57,940 from the New Jersey Department of Community Affairs. This grant, along with $35,000 provided by the Episcopalian United Thanks Fund, enabled NARCO to expand its treatment capacities to a 24,000 square foot building. NARCO received immeasurable support from local labor unions, businesses and local municipalities in its efforts to convert this building, once an ice rink, into a residential treatment center for drug addiction. | [
{
"from": "human",
"value": "Text: The John Brooks Recovery Center (JBRC) was founded in Atlantic City during January of 1969 (as NARCO, Inc.) by a group of six Atlantic City residents with the assistance of the Episcopalian Diocese of New Jersey and the Division of Urban Concerns. John Brooks a recovering heroin addict and ex-convict is usually identified as the driving force and subsequent Executive Director for many years. At that time JBRC was an outpatient, storefront treatment center for drug abusers. The primary mission was to provide quality treatment for minority, indigent drug abusers within the area of Atlantic City. A secondary but very vital mission was to provide prevention and education in the area for groups such as churches, schools, social clubs and civic organizations.\n\nIn August of 1970, NARCO received its first grant of $57,940 from the New Jersey Department of Community Affairs. This grant, along with $35,000 provided by the Episcopalian United Thanks Fund, enabled NARCO to expand its treatment capacities to a 24,000 square foot building. NARCO received immeasurable support from local labor unions, businesses and local municipalities in its efforts to convert this building, once an ice rink, into a residential treatment center for drug addiction."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes date in the text?"
},
{
"from": "gpt",
"value": "[\"January\", \"1969\", \"August\", \"1970\"]"
},
{
"from": "human",
"value": "What describes demographic in the text?"
},
{
"from": "gpt",
"value": "[\"minority\", \"indigent\"]"
},
{
"from": "human",
"value": "What describes job title in the text?"
},
{
"from": "gpt",
"value": "[\"Executive Director\"]"
},
{
"from": "human",
"value": "What describes activity in the text?"
},
{
"from": "gpt",
"value": "[\"education\"]"
},
{
"from": "human",
"value": "What describes medical condition in the text?"
},
{
"from": "gpt",
"value": "[\"drug addiction\"]"
},
{
"from": "human",
"value": "What describes measurement in the text?"
},
{
"from": "gpt",
"value": "[\"24,000 square foot\"]"
},
{
"from": "human",
"value": "What describes Movie in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes building in the text?"
},
{
"from": "gpt",
"value": "[\"ice rink\"]"
},
{
"from": "human",
"value": "What describes variable in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[\"John Brooks\"]"
},
{
"from": "human",
"value": "What describes Village in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Event in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes medical treatment in the text?"
},
{
"from": "gpt",
"value": "[\"outpatient\", \"prevention\", \"residential treatment center\"]"
},
{
"from": "human",
"value": "What describes organization in the text?"
},
{
"from": "gpt",
"value": "[\"John Brooks Recovery Center\", \"JBRC\", \"NARCO, Inc.\", \"Episcopalian Diocese of New Jersey\", \"Division of Urban Concerns\", \"churches\", \"schools\", \"social clubs\", \"civic organizations\", \"New Jersey Department of Community Affairs\", \"Episcopalian United Thanks Fund\", \"local labor unions\", \"businesses\", \"local municipalities\"]"
},
{
"from": "human",
"value": "What describes location in the text?"
},
{
"from": "gpt",
"value": "[\"Atlantic City\"]"
},
{
"from": "human",
"value": "What describes substance in the text?"
},
{
"from": "gpt",
"value": "[\"heroin\"]"
},
{
"from": "human",
"value": "What describes quantity in the text?"
},
{
"from": "gpt",
"value": "[\"six\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Visual search and emotion: how children with autism spectrum disorders scan emotional scenes. This study assessed visual search abilities, tested through the flicker task, in children diagnosed with autism spectrum disorders (ASDs). Twenty-two children diagnosed with ASD and 22 matched typically developing (TD) children were told to detect changes in objects of central interest or objects of marginal interest (MI) embedded in either emotion-laden (positive or negative) or neutral real-world pictures. The results showed that emotion-laden pictures equally interfered with performance of both ASD and TD children, slowing down reaction times compared with neutral pictures. Children with ASD were faster than TD children, particularly in detecting changes in MI objects, the most difficult condition. However, their performance was less accurate than performance of TD children just when the pictures were negative. These findings suggest that children with ASD have better visual search abilities than TD children only when the search is particularly difficult and requires strong serial search strategies. The emotional-social impairment that is usually considered as a typical feature of ASD seems to be limited to processing of negative emotional information. """<|im_end|>
<|im_start|>assistant
| Visual search and emotion: how children with autism spectrum disorders scan emotional scenes. This study assessed visual search abilities, tested through the flicker task, in children diagnosed with autism spectrum disorders (ASDs). Twenty-two children diagnosed with ASD and 22 matched typically developing (TD) children were told to detect changes in objects of central interest or objects of marginal interest (MI) embedded in either emotion-laden (positive or negative) or neutral real-world pictures. The results showed that emotion-laden pictures equally interfered with performance of both ASD and TD children, slowing down reaction times compared with neutral pictures. Children with ASD were faster than TD children, particularly in detecting changes in MI objects, the most difficult condition. However, their performance was less accurate than performance of TD children just when the pictures were negative. These findings suggest that children with ASD have better visual search abilities than TD children only when the search is particularly difficult and requires strong serial search strategies. The emotional-social impairment that is usually considered as a typical feature of ASD seems to be limited to processing of negative emotional information. | [
{
"from": "human",
"value": "Text: Visual search and emotion: how children with autism spectrum disorders scan emotional scenes. This study assessed visual search abilities, tested through the flicker task, in children diagnosed with autism spectrum disorders (ASDs). Twenty-two children diagnosed with ASD and 22 matched typically developing (TD) children were told to detect changes in objects of central interest or objects of marginal interest (MI) embedded in either emotion-laden (positive or negative) or neutral real-world pictures. The results showed that emotion-laden pictures equally interfered with performance of both ASD and TD children, slowing down reaction times compared with neutral pictures. Children with ASD were faster than TD children, particularly in detecting changes in MI objects, the most difficult condition. However, their performance was less accurate than performance of TD children just when the pictures were negative. These findings suggest that children with ASD have better visual search abilities than TD children only when the search is particularly difficult and requires strong serial search strategies. The emotional-social impairment that is usually considered as a typical feature of ASD seems to be limited to processing of negative emotional information."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes condition in the text?"
},
{
"from": "gpt",
"value": "[\"typically developing\"]"
},
{
"from": "human",
"value": "What describes location in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes impairment in the text?"
},
{
"from": "gpt",
"value": "[\"emotional-social impairment\"]"
},
{
"from": "human",
"value": "What describes strategy in the text?"
},
{
"from": "gpt",
"value": "[\"serial search strategies\"]"
},
{
"from": "human",
"value": "What describes class in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[\"children\"]"
},
{
"from": "human",
"value": "What describes Invention in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes object in the text?"
},
{
"from": "gpt",
"value": "[\"objects\", \"real-world pictures\", \"MI objects\"]"
},
{
"from": "human",
"value": "What describes Molecule in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes acronym in the text?"
},
{
"from": "gpt",
"value": "[\"ASDs\", \"TD\"]"
},
{
"from": "human",
"value": "What describes measurement in the text?"
},
{
"from": "gpt",
"value": "[\"reaction times\", \"performance\"]"
},
{
"from": "human",
"value": "What describes ability in the text?"
},
{
"from": "gpt",
"value": "[\"visual search abilities\"]"
},
{
"from": "human",
"value": "What describes Date in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes disorder in the text?"
},
{
"from": "gpt",
"value": "[\"autism spectrum disorders\"]"
},
{
"from": "human",
"value": "What describes number in the text?"
},
{
"from": "gpt",
"value": "[\"Twenty-two\"]"
},
{
"from": "human",
"value": "What describes data type in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes DATE in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes emotion in the text?"
},
{
"from": "gpt",
"value": "[\"positive\", \"negative\", \"neutral\"]"
},
{
"from": "human",
"value": "What describes Country in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes information in the text?"
},
{
"from": "gpt",
"value": "[\"negative emotional information\"]"
},
{
"from": "human",
"value": "What describes task in the text?"
},
{
"from": "gpt",
"value": "[\"Visual search\"]"
},
{
"from": "human",
"value": "What describes date in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes concept in the text?"
},
{
"from": "gpt",
"value": "[\"emotion\", \"central interest\", \"marginal interest\", \"findings\"]"
},
{
"from": "human",
"value": "What describes Volume in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Pollutant in the text?"
},
{
"from": "gpt",
"value": "[]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Ben Affleck learned the hard way that it’s never a good idea to read Internet comments. The actor, who set off a furious fanboy backlash when he was cast as Batman in the upcoming “Man of Steel” sequel last month, responded to his haters during a visit Monday to “Late Night.”
Affleck told host Jimmy Fallon that even he was skeptical when he was first approached about the role. “They called me up and said, ‘Do you want to do this?’ And I thought, ‘Well, I’m not 25, man. Are you sure about this?’ ”
But the actor and filmmaker said he was won over by the “brilliant” vision of director Zack Snyder. PHOTOS: Hollywood Backlot moments
Once Affleck, 41, accepted the role, executives at Warner Bros. shared with him the negative reactions that met other actors cast in high-profile roles as a way to warn him of the potentially “trying” times ahead. Affleck, who’s certainly weathered his share of public criticism (“Gigli,” anyone?) was sure he could handle whatever came next. “I’m a big boy,” he said. “I’m very tough.”
His bravado soon faded, however. """<|im_end|>
<|im_start|>assistant
| Ben Affleck learned the hard way that it’s never a good idea to read Internet comments. The actor, who set off a furious fanboy backlash when he was cast as Batman in the upcoming “Man of Steel” sequel last month, responded to his haters during a visit Monday to “Late Night.”
Affleck told host Jimmy Fallon that even he was skeptical when he was first approached about the role. “They called me up and said, ‘Do you want to do this?’ And I thought, ‘Well, I’m not 25, man. Are you sure about this?’ ”
But the actor and filmmaker said he was won over by the “brilliant” vision of director Zack Snyder. PHOTOS: Hollywood Backlot moments
Once Affleck, 41, accepted the role, executives at Warner Bros. shared with him the negative reactions that met other actors cast in high-profile roles as a way to warn him of the potentially “trying” times ahead. Affleck, who’s certainly weathered his share of public criticism (“Gigli,” anyone?) was sure he could handle whatever came next. “I’m a big boy,” he said. “I’m very tough.”
His bravado soon faded, however. | [
{
"from": "human",
"value": "Text: Ben Affleck learned the hard way that it’s never a good idea to read Internet comments. The actor, who set off a furious fanboy backlash when he was cast as Batman in the upcoming “Man of Steel” sequel last month, responded to his haters during a visit Monday to “Late Night.”\n\nAffleck told host Jimmy Fallon that even he was skeptical when he was first approached about the role. “They called me up and said, ‘Do you want to do this?’ And I thought, ‘Well, I’m not 25, man. Are you sure about this?’ ”\n\nBut the actor and filmmaker said he was won over by the “brilliant” vision of director Zack Snyder. PHOTOS: Hollywood Backlot moments\n\nOnce Affleck, 41, accepted the role, executives at Warner Bros. shared with him the negative reactions that met other actors cast in high-profile roles as a way to warn him of the potentially “trying” times ahead. Affleck, who’s certainly weathered his share of public criticism (“Gigli,” anyone?) was sure he could handle whatever came next. “I’m a big boy,” he said. “I’m very tough.”\n\nHis bravado soon faded, however."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes Fictional Character in the text?"
},
{
"from": "gpt",
"value": "[\"Batman\"]"
},
{
"from": "human",
"value": "What describes Miscellaneous in the text?"
},
{
"from": "gpt",
"value": "[\"Internet\"]"
},
{
"from": "human",
"value": "What describes Movie in the text?"
},
{
"from": "gpt",
"value": "[\"Man of Steel\", \"Gigli\"]"
},
{
"from": "human",
"value": "What describes measurement in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes demographic in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes book in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Person in the text?"
},
{
"from": "gpt",
"value": "[\"Ben Affleck\", \"Jimmy Fallon\", \"Zack Snyder\"]"
},
{
"from": "human",
"value": "What describes Organization in the text?"
},
{
"from": "gpt",
"value": "[\"Warner Bros.\"]"
},
{
"from": "human",
"value": "What describes TV Show in the text?"
},
{
"from": "gpt",
"value": "[\"Late Night\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" 2017-11-09
Ch. 33 – Bloody Superstition and Bold New Cosmology
When I picked up my duffel bag from the carousel on the arrival level of the Vancouver International Airport in late spring, 1977, it contained about a thousand pages of hand-written notes. By late 1979, they had grown to almost three thousand pages. Let me time-travel to 1997, when, in a feature article titled [Bloody Superstition] in the Vancouver publication the Georgia Straight, Shawn Blore summarized my life up to 1987 as follows:
… Born in February 1944, in southern China, Anthony Seeu-Sung Marr fled to Hong Kong along with the rest of his family shortly after the Communist revolution. Family legend has Marr’s father burning the deeds of the family’s extensive land-holdings for a moment’s warmth during the first refugee winter…
In 1965, Marr came to Canada to study science at the University of Manitoba…
At the same time, his relationship with a Hong Kong girl fell to bits when she dropped him on orders from her parents. Marr has never forgiven Chinese culture for the snub. “As a result of that incident, I have never dated a Chinese girl again,” Marr said. """<|im_end|>
<|im_start|>assistant
| 2017-11-09
Ch. 33 – Bloody Superstition and Bold New Cosmology
When I picked up my duffel bag from the carousel on the arrival level of the Vancouver International Airport in late spring, 1977, it contained about a thousand pages of hand-written notes. By late 1979, they had grown to almost three thousand pages. Let me time-travel to 1997, when, in a feature article titled [Bloody Superstition] in the Vancouver publication the Georgia Straight, Shawn Blore summarized my life up to 1987 as follows:
… Born in February 1944, in southern China, Anthony Seeu-Sung Marr fled to Hong Kong along with the rest of his family shortly after the Communist revolution. Family legend has Marr’s father burning the deeds of the family’s extensive land-holdings for a moment’s warmth during the first refugee winter…
In 1965, Marr came to Canada to study science at the University of Manitoba…
At the same time, his relationship with a Hong Kong girl fell to bits when she dropped him on orders from her parents. Marr has never forgiven Chinese culture for the snub. “As a result of that incident, I have never dated a Chinese girl again,” Marr said. | [
{
"from": "human",
"value": "Text: 2017-11-09\n\nCh. 33 – Bloody Superstition and Bold New Cosmology\n\nWhen I picked up my duffel bag from the carousel on the arrival level of the Vancouver International Airport in late spring, 1977, it contained about a thousand pages of hand-written notes. By late 1979, they had grown to almost three thousand pages. Let me time-travel to 1997, when, in a feature article titled [Bloody Superstition] in the Vancouver publication the Georgia Straight, Shawn Blore summarized my life up to 1987 as follows:\n\n… Born in February 1944, in southern China, Anthony Seeu-Sung Marr fled to Hong Kong along with the rest of his family shortly after the Communist revolution. Family legend has Marr’s father burning the deeds of the family’s extensive land-holdings for a moment’s warmth during the first refugee winter…\n\nIn 1965, Marr came to Canada to study science at the University of Manitoba…\n\nAt the same time, his relationship with a Hong Kong girl fell to bits when she dropped him on orders from her parents. Marr has never forgiven Chinese culture for the snub. “As a result of that incident, I have never dated a Chinese girl again,” Marr said."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes group in the text?"
},
{
"from": "gpt",
"value": "[\"Communist\"]"
},
{
"from": "human",
"value": "What describes location in the text?"
},
{
"from": "gpt",
"value": "[\"Vancouver International Airport\", \"Vancouver\", \"China\", \"Hong Kong\"]"
},
{
"from": "human",
"value": "What describes gender in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes time in the text?"
},
{
"from": "gpt",
"value": "[\"late spring\", \"1977\", \"late 1979\", \"1997\"]"
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[\"Anthony Seeu-Sung Marr\", \"Marr\"]"
},
{
"from": "human",
"value": "What describes publication in the text?"
},
{
"from": "gpt",
"value": "[\"Georgia Straight\"]"
},
{
"from": "human",
"value": "What describes external stochastic in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes language in the text?"
},
{
"from": "gpt",
"value": "[\"Chinese\"]"
},
{
"from": "human",
"value": "What describes organization in the text?"
},
{
"from": "gpt",
"value": "[\"University of Manitoba\"]"
},
{
"from": "human",
"value": "What describes Region in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes chemical compound in the text?"
},
{
"from": "gpt",
"value": "[]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" The Selecao legend confirmed that he would not play beyond the coming season, after a career laden with trophies and individual awards on both sides of the Atlantic
Former Brazil, Barcelona and Milan star Ronaldinho has revealed he will soon be ending his professional football career, after 18 years starring in both Europe and South America. The 36-year-old is one of the few players to boast both Champions League and Copa Libertadores winners medals, and he also lifted the World Cup with Brazil back in 2002. But having struggled to settle at any single club since leaving Atletico Mineiro in 2014, he believes it is time to call it a day. "I am an old man now, I am 36," he told reporters at a press conference in New York. //
"I am no longer 26 like I once was, and I am looking at what I can do to mark an end to my career. The plan is to play one more year. While he gave few clues on what the future might hold, Ronaldinho affirmed that he may well be entering the music world. "I am immersed in new projects, related to music and football which are, as you know, my two passions," he said. """<|im_end|>
<|im_start|>assistant
| The Selecao legend confirmed that he would not play beyond the coming season, after a career laden with trophies and individual awards on both sides of the Atlantic
Former Brazil, Barcelona and Milan star Ronaldinho has revealed he will soon be ending his professional football career, after 18 years starring in both Europe and South America. The 36-year-old is one of the few players to boast both Champions League and Copa Libertadores winners medals, and he also lifted the World Cup with Brazil back in 2002. But having struggled to settle at any single club since leaving Atletico Mineiro in 2014, he believes it is time to call it a day. "I am an old man now, I am 36," he told reporters at a press conference in New York. //
"I am no longer 26 like I once was, and I am looking at what I can do to mark an end to my career. The plan is to play one more year. While he gave few clues on what the future might hold, Ronaldinho affirmed that he may well be entering the music world. "I am immersed in new projects, related to music and football which are, as you know, my two passions," he said. | [
{
"from": "human",
"value": "Text: The Selecao legend confirmed that he would not play beyond the coming season, after a career laden with trophies and individual awards on both sides of the Atlantic\n\nFormer Brazil, Barcelona and Milan star Ronaldinho has revealed he will soon be ending his professional football career, after 18 years starring in both Europe and South America. The 36-year-old is one of the few players to boast both Champions League and Copa Libertadores winners medals, and he also lifted the World Cup with Brazil back in 2002. But having struggled to settle at any single club since leaving Atletico Mineiro in 2014, he believes it is time to call it a day. \"I am an old man now, I am 36,\" he told reporters at a press conference in New York. //\n\n\"I am no longer 26 like I once was, and I am looking at what I can do to mark an end to my career. The plan is to play one more year. While he gave few clues on what the future might hold, Ronaldinho affirmed that he may well be entering the music world. \"I am immersed in new projects, related to music and football which are, as you know, my two passions,\" he said."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes Organization in the text?"
},
{
"from": "gpt",
"value": "[\"Champions League\", \"Copa Libertadores\", \"World Cup\", \"Atletico Mineiro\"]"
},
{
"from": "human",
"value": "What describes Location in the text?"
},
{
"from": "gpt",
"value": "[\"Brazil\", \"Barcelona\", \"Milan\", \"New York\"]"
},
{
"from": "human",
"value": "What describes Person in the text?"
},
{
"from": "gpt",
"value": "[\"Ronaldinho\"]"
},
{
"from": "human",
"value": "What describes fluid in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Anatomical Structure in the text?"
},
{
"from": "gpt",
"value": "[]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" There will soon be a service for people who are too lazy to make their own coffee and actually go to a coffee shop. Fetch Coffee, aiming to launch at the end of the month, will deliver a cup of Joe to your office or home for $3 plus the price of the drink. The idea comes from Tony Chen, a 24-year-old Montgomery County native and engineering grad from Cornell University who quit his business strategy job at Capital One to start his own company. He’s seen how food delivery services have taken off and figured there might be a niche specifically for coffee. “I sat at Starbucks from 7 a.m. until 10 a.m.,” Chen says. “And just look at the people who come in, look at the people who go out: Eighty-percent of the people who order in the morning, it’s all takeout… They wait five minutes in line, and then they leave. It’s too bad. It’s annoying.”
Chen says the coffee will come from whatever cafe is closest to the delivery address unless people request a specific place. People can order coffee on-demand or schedule it in advance. He’ll transport the drinks by car or bike and use some sort of insulation box to keep the coffee hot. """<|im_end|>
<|im_start|>assistant
| There will soon be a service for people who are too lazy to make their own coffee and actually go to a coffee shop. Fetch Coffee, aiming to launch at the end of the month, will deliver a cup of Joe to your office or home for $3 plus the price of the drink. The idea comes from Tony Chen, a 24-year-old Montgomery County native and engineering grad from Cornell University who quit his business strategy job at Capital One to start his own company. He’s seen how food delivery services have taken off and figured there might be a niche specifically for coffee. “I sat at Starbucks from 7 a.m. until 10 a.m.,” Chen says. “And just look at the people who come in, look at the people who go out: Eighty-percent of the people who order in the morning, it’s all takeout… They wait five minutes in line, and then they leave. It’s too bad. It’s annoying.”
Chen says the coffee will come from whatever cafe is closest to the delivery address unless people request a specific place. People can order coffee on-demand or schedule it in advance. He’ll transport the drinks by car or bike and use some sort of insulation box to keep the coffee hot. | [
{
"from": "human",
"value": "Text: There will soon be a service for people who are too lazy to make their own coffee and actually go to a coffee shop. Fetch Coffee, aiming to launch at the end of the month, will deliver a cup of Joe to your office or home for $3 plus the price of the drink. The idea comes from Tony Chen, a 24-year-old Montgomery County native and engineering grad from Cornell University who quit his business strategy job at Capital One to start his own company. He’s seen how food delivery services have taken off and figured there might be a niche specifically for coffee. “I sat at Starbucks from 7 a.m. until 10 a.m.,” Chen says. “And just look at the people who come in, look at the people who go out: Eighty-percent of the people who order in the morning, it’s all takeout… They wait five minutes in line, and then they leave. It’s too bad. It’s annoying.”\n\nChen says the coffee will come from whatever cafe is closest to the delivery address unless people request a specific place. People can order coffee on-demand or schedule it in advance. He’ll transport the drinks by car or bike and use some sort of insulation box to keep the coffee hot."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes drink in the text?"
},
{
"from": "gpt",
"value": "[\"Joe\"]"
},
{
"from": "human",
"value": "What describes data type in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes research in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes substance in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes organization in the text?"
},
{
"from": "gpt",
"value": "[\"Cornell University\", \"Capital One\", \"Starbucks\"]"
},
{
"from": "human",
"value": "What describes function in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[\"Tony Chen\"]"
},
{
"from": "human",
"value": "What describes vehicle in the text?"
},
{
"from": "gpt",
"value": "[\"car\", \"bike\"]"
},
{
"from": "human",
"value": "What describes location in the text?"
},
{
"from": "gpt",
"value": "[\"Montgomery County\"]"
},
{
"from": "human",
"value": "What describes service in the text?"
},
{
"from": "gpt",
"value": "[\"Fetch Coffee\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Are You Ready For IoT – Internet of Things
August 12, 2017
No Comments
2494
Come 2020 and millions or even billions of smart electronic devices, linked by the Internet, would interact with each other independent of human intervention. This network of interacting electronic devices is named as the Internet of Things (IoT). Looking at it from our times (2013), one could expect the IoT to consist of PCs, tablet computers, digital cameras, e-Book readers, mobile phones, robots, private and public computer networks and whatever new smart electronic devices that would be developed between now and 2020. What would that mean to you and me? Here are some of the key benefits... and costs. BENEFITS
Automation:
Automation will have reached such high levels as to cause a paradigm shift in our lifestyles. One of the most significant changes, that we can expect to see is that our lives will become far more comfortable than now. Physically, we would have to travel less. There will be even more time to dedicate to our primary occupations and of course, to vacations, rest and relaxation. Here are a few examples to help one appreciate what life would be like in the IoT age. You can, for example, expect your PC to automatically order groceries when their stocks fall below set levels. """<|im_end|>
<|im_start|>assistant
| Are You Ready For IoT – Internet of Things
August 12, 2017
No Comments
2494
Come 2020 and millions or even billions of smart electronic devices, linked by the Internet, would interact with each other independent of human intervention. This network of interacting electronic devices is named as the Internet of Things (IoT). Looking at it from our times (2013), one could expect the IoT to consist of PCs, tablet computers, digital cameras, e-Book readers, mobile phones, robots, private and public computer networks and whatever new smart electronic devices that would be developed between now and 2020. What would that mean to you and me? Here are some of the key benefits... and costs. BENEFITS
Automation:
Automation will have reached such high levels as to cause a paradigm shift in our lifestyles. One of the most significant changes, that we can expect to see is that our lives will become far more comfortable than now. Physically, we would have to travel less. There will be even more time to dedicate to our primary occupations and of course, to vacations, rest and relaxation. Here are a few examples to help one appreciate what life would be like in the IoT age. You can, for example, expect your PC to automatically order groceries when their stocks fall below set levels. | [
{
"from": "human",
"value": "Text: Are You Ready For IoT – Internet of Things\n\nAugust 12, 2017\n\nNo Comments\n\n2494\n\nCome 2020 and millions or even billions of smart electronic devices, linked by the Internet, would interact with each other independent of human intervention. This network of interacting electronic devices is named as the Internet of Things (IoT). Looking at it from our times (2013), one could expect the IoT to consist of PCs, tablet computers, digital cameras, e-Book readers, mobile phones, robots, private and public computer networks and whatever new smart electronic devices that would be developed between now and 2020. What would that mean to you and me? Here are some of the key benefits... and costs. BENEFITS\n\nAutomation:\n\nAutomation will have reached such high levels as to cause a paradigm shift in our lifestyles. One of the most significant changes, that we can expect to see is that our lives will become far more comfortable than now. Physically, we would have to travel less. There will be even more time to dedicate to our primary occupations and of course, to vacations, rest and relaxation. Here are a few examples to help one appreciate what life would be like in the IoT age. You can, for example, expect your PC to automatically order groceries when their stocks fall below set levels."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes occupation in the text?"
},
{
"from": "gpt",
"value": "[\"occupations\"]"
},
{
"from": "human",
"value": "What describes quantity in the text?"
},
{
"from": "gpt",
"value": "[\"millions\", \"billions\"]"
},
{
"from": "human",
"value": "What describes concept in the text?"
},
{
"from": "gpt",
"value": "[\"paradigm shift\", \"lifestyles\", \"comfortable\", \"set levels\"]"
},
{
"from": "human",
"value": "What describes property in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes technology in the text?"
},
{
"from": "gpt",
"value": "[\"smart electronic devices\", \"Internet\", \"Internet of Things\", \"PCs\", \"tablet computers\", \"digital cameras\", \"e-Book readers\", \"mobile phones\", \"robots\", \"computer networks\", \"PC\"]"
},
{
"from": "human",
"value": "What describes date in the text?"
},
{
"from": "gpt",
"value": "[\"2020\", \"2013\"]"
},
{
"from": "human",
"value": "What describes activity in the text?"
},
{
"from": "gpt",
"value": "[\"travel\", \"vacations\", \"rest\", \"relaxation\"]"
},
{
"from": "human",
"value": "What describes product in the text?"
},
{
"from": "gpt",
"value": "[\"groceries\", \"stocks\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Appikonda is a small village located 18-kms from Visakhapatnam at the cost of the Bay of Bengal. History speaks that it is at this village that Kapila Maha Muni has installed the idol of Somalingeswara Swamy and thus the name - Kapilakonda which was over the ages changed to Apillakonda and further to Appikonda. The Lord Shiva Temple here, also called Appikonda Temple, contains inscriptions dating back to 12th Century AD. There was a life-size bull at the temple that was carved out of Black Stone. Every years Shiva Rathri is celebrated with much devotion. """<|im_end|>
<|im_start|>assistant
| Appikonda is a small village located 18-kms from Visakhapatnam at the cost of the Bay of Bengal. History speaks that it is at this village that Kapila Maha Muni has installed the idol of Somalingeswara Swamy and thus the name - Kapilakonda which was over the ages changed to Apillakonda and further to Appikonda. The Lord Shiva Temple here, also called Appikonda Temple, contains inscriptions dating back to 12th Century AD. There was a life-size bull at the temple that was carved out of Black Stone. Every years Shiva Rathri is celebrated with much devotion. | [
{
"from": "human",
"value": "Text: Appikonda is a small village located 18-kms from Visakhapatnam at the cost of the Bay of Bengal. History speaks that it is at this village that Kapila Maha Muni has installed the idol of Somalingeswara Swamy and thus the name - Kapilakonda which was over the ages changed to Apillakonda and further to Appikonda. The Lord Shiva Temple here, also called Appikonda Temple, contains inscriptions dating back to 12th Century AD. There was a life-size bull at the temple that was carved out of Black Stone. Every years Shiva Rathri is celebrated with much devotion."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes body of water in the text?"
},
{
"from": "gpt",
"value": "[\"Bay of Bengal\"]"
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[\"Kapila Maha Muni\"]"
},
{
"from": "human",
"value": "What describes city in the text?"
},
{
"from": "gpt",
"value": "[\"Visakhapatnam\"]"
},
{
"from": "human",
"value": "What describes animal in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Programming Language in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes village in the text?"
},
{
"from": "gpt",
"value": "[\"Appikonda\"]"
},
{
"from": "human",
"value": "What describes animal in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes material in the text?"
},
{
"from": "gpt",
"value": "[\"Black Stone\"]"
},
{
"from": "human",
"value": "What describes temple in the text?"
},
{
"from": "gpt",
"value": "[\"Appikonda Temple\"]"
},
{
"from": "human",
"value": "What describes place in the text?"
},
{
"from": "gpt",
"value": "[\"Kapilakonda\", \"Apillakonda\"]"
},
{
"from": "human",
"value": "What describes deity in the text?"
},
{
"from": "gpt",
"value": "[\"Somalingeswara Swamy\", \"Lord Shiva\"]"
},
{
"from": "human",
"value": "What describes festival in the text?"
},
{
"from": "gpt",
"value": "[\"Shiva Rathri\"]"
},
{
"from": "human",
"value": "What describes variable in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes time in the text?"
},
{
"from": "gpt",
"value": "[\"12th Century AD\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Secret's saga ends as its creators head to Postmates
The years-long drama surrounding Secret is coming to an end. Postmates has hired Secret founder David Byttow and his teammate, Ben South Lee, shutting down their publishing platform Bold (and plans for a Secret revival) in the process. Byttow will lead the product development for Postmates' app, and it's clear that he sees bright prospects for the on-demand delivery service -- the entrepreneur believes his new employer can "leapfrog itself." Whether or not that happens, the career move underscores the volatility of internet startups, and Secret in particular. In many ways, Secret was the poster child for every Silicon Valley startup with lots of investment money but no clear road to success. In 2014, it was one of the hottest social apps on the planet -- it broke major news (such as Vic Gundotra leaving Google), raised tens of millions of dollars in funding and garnered plenty of buzz, at least in the San Francisco Bay Area. However, it quickly fizzled out as a combination of controversies (such as bullying and muckraking) and its singular focus dragged it down. The service closed shop within about a year, leading Byttow and Lee to work on the far more practical Bold and the anonymous publishing platform IO. This isn't necessarily a gamble for Postmates. """<|im_end|>
<|im_start|>assistant
| Secret's saga ends as its creators head to Postmates
The years-long drama surrounding Secret is coming to an end. Postmates has hired Secret founder David Byttow and his teammate, Ben South Lee, shutting down their publishing platform Bold (and plans for a Secret revival) in the process. Byttow will lead the product development for Postmates' app, and it's clear that he sees bright prospects for the on-demand delivery service -- the entrepreneur believes his new employer can "leapfrog itself." Whether or not that happens, the career move underscores the volatility of internet startups, and Secret in particular. In many ways, Secret was the poster child for every Silicon Valley startup with lots of investment money but no clear road to success. In 2014, it was one of the hottest social apps on the planet -- it broke major news (such as Vic Gundotra leaving Google), raised tens of millions of dollars in funding and garnered plenty of buzz, at least in the San Francisco Bay Area. However, it quickly fizzled out as a combination of controversies (such as bullying and muckraking) and its singular focus dragged it down. The service closed shop within about a year, leading Byttow and Lee to work on the far more practical Bold and the anonymous publishing platform IO. This isn't necessarily a gamble for Postmates. | [
{
"from": "human",
"value": "Text: Secret's saga ends as its creators head to Postmates\n\nThe years-long drama surrounding Secret is coming to an end. Postmates has hired Secret founder David Byttow and his teammate, Ben South Lee, shutting down their publishing platform Bold (and plans for a Secret revival) in the process. Byttow will lead the product development for Postmates' app, and it's clear that he sees bright prospects for the on-demand delivery service -- the entrepreneur believes his new employer can \"leapfrog itself.\" Whether or not that happens, the career move underscores the volatility of internet startups, and Secret in particular. In many ways, Secret was the poster child for every Silicon Valley startup with lots of investment money but no clear road to success. In 2014, it was one of the hottest social apps on the planet -- it broke major news (such as Vic Gundotra leaving Google), raised tens of millions of dollars in funding and garnered plenty of buzz, at least in the San Francisco Bay Area. However, it quickly fizzled out as a combination of controversies (such as bullying and muckraking) and its singular focus dragged it down. The service closed shop within about a year, leading Byttow and Lee to work on the far more practical Bold and the anonymous publishing platform IO. This isn't necessarily a gamble for Postmates."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[\"David Byttow\", \"Ben South Lee\", \"Vic Gundotra\"]"
},
{
"from": "human",
"value": "What describes technology in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes product in the text?"
},
{
"from": "gpt",
"value": "[\"Bold\", \"Secret revival\", \"Postmates' app\", \"IO\"]"
},
{
"from": "human",
"value": "What describes bacteria in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes organization in the text?"
},
{
"from": "gpt",
"value": "[\"Secret\", \"Postmates\"]"
},
{
"from": "human",
"value": "What describes neurotransmitter in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Engine in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes location in the text?"
},
{
"from": "gpt",
"value": "[\"Silicon Valley\", \"San Francisco Bay Area\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" In college we change, and so do the seasons
Main menu
Tag Archives: Pilsbury
When you think of Halloween you probably think of dressing up in costumes, or going to a haunted house. Well when I think of Halloween I think of those things, I do, but before them I think of baking my favorite Halloween cookies. These cookies I am speaking of are made from the company Pillsbury and they make them for most major holidays, even the not so major like Valentine’s day. The ones with pictures on them? They can either have hearts or Christmas trees or for Halloween they have black cats, pumpkins and ghosts on them. Still don’t know what I am talking about? Well I will show you. Now you know! I made these for my friends at school. They all loved them. But what if you did not like cookies; you are more of a cup cake person. Well, I found this site that has some pretty awesome Candy Corn cupcakes that you can make. They look delicious. So you should just Click Here to check them out. And post down there what you think about them. These cookies are probably the easiest thing to make and I bet most people will be happy to take them off your hands. """<|im_end|>
<|im_start|>assistant
| In college we change, and so do the seasons
Main menu
Tag Archives: Pilsbury
When you think of Halloween you probably think of dressing up in costumes, or going to a haunted house. Well when I think of Halloween I think of those things, I do, but before them I think of baking my favorite Halloween cookies. These cookies I am speaking of are made from the company Pillsbury and they make them for most major holidays, even the not so major like Valentine’s day. The ones with pictures on them? They can either have hearts or Christmas trees or for Halloween they have black cats, pumpkins and ghosts on them. Still don’t know what I am talking about? Well I will show you. Now you know! I made these for my friends at school. They all loved them. But what if you did not like cookies; you are more of a cup cake person. Well, I found this site that has some pretty awesome Candy Corn cupcakes that you can make. They look delicious. So you should just Click Here to check them out. And post down there what you think about them. These cookies are probably the easiest thing to make and I bet most people will be happy to take them off your hands. | [
{
"from": "human",
"value": "Text: In college we change, and so do the seasons\n\nMain menu\n\nTag Archives: Pilsbury\n\nWhen you think of Halloween you probably think of dressing up in costumes, or going to a haunted house. Well when I think of Halloween I think of those things, I do, but before them I think of baking my favorite Halloween cookies. These cookies I am speaking of are made from the company Pillsbury and they make them for most major holidays, even the not so major like Valentine’s day. The ones with pictures on them? They can either have hearts or Christmas trees or for Halloween they have black cats, pumpkins and ghosts on them. Still don’t know what I am talking about? Well I will show you. Now you know! I made these for my friends at school. They all loved them. But what if you did not like cookies; you are more of a cup cake person. Well, I found this site that has some pretty awesome Candy Corn cupcakes that you can make. They look delicious. So you should just Click Here to check them out. And post down there what you think about them. These cookies are probably the easiest thing to make and I bet most people will be happy to take them off your hands."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes Holiday in the text?"
},
{
"from": "gpt",
"value": "[\"Halloween\"]"
},
{
"from": "human",
"value": "What describes Website in the text?"
},
{
"from": "gpt",
"value": "[\"site\"]"
},
{
"from": "human",
"value": "What describes Education in the text?"
},
{
"from": "gpt",
"value": "[\"college\"]"
},
{
"from": "human",
"value": "What describes Person in the text?"
},
{
"from": "gpt",
"value": "[\"friends\"]"
},
{
"from": "human",
"value": "What describes Time in the text?"
},
{
"from": "gpt",
"value": "[\"seasons\", \"holidays\"]"
},
{
"from": "human",
"value": "What describes Brand in the text?"
},
{
"from": "gpt",
"value": "[\"Pillsbury\"]"
},
{
"from": "human",
"value": "What describes Building in the text?"
},
{
"from": "gpt",
"value": "[\"haunted house\"]"
},
{
"from": "human",
"value": "What describes concept in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes concept in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Supernatural in the text?"
},
{
"from": "gpt",
"value": "[\"ghosts\"]"
},
{
"from": "human",
"value": "What describes Food in the text?"
},
{
"from": "gpt",
"value": "[\"cookies\", \"cupcakes\", \"Candy Corn cupcakes\"]"
},
{
"from": "human",
"value": "What describes Group in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Clothing in the text?"
},
{
"from": "gpt",
"value": "[\"costumes\"]"
},
{
"from": "human",
"value": "What describes Animal in the text?"
},
{
"from": "gpt",
"value": "[\"black cats\"]"
},
{
"from": "human",
"value": "What describes Visual in the text?"
},
{
"from": "gpt",
"value": "[\"pictures\"]"
},
{
"from": "human",
"value": "What describes Symbol in the text?"
},
{
"from": "gpt",
"value": "[\"hearts\", \"Christmas trees\"]"
},
{
"from": "human",
"value": "What describes location in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Plant in the text?"
},
{
"from": "gpt",
"value": "[\"pumpkins\"]"
},
{
"from": "human",
"value": "What describes Tool in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes compound in the text?"
},
{
"from": "gpt",
"value": "[]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Reid asked the officer how he was doing, and the officer said he'd be fine. "The only thing I do every day is to make sure you and everyone who works up here is safe," the officer told Reid. Reid said he appreciated the bravery and dedication of t he officer and his colleagues. """<|im_end|>
<|im_start|>assistant
| Reid asked the officer how he was doing, and the officer said he'd be fine. "The only thing I do every day is to make sure you and everyone who works up here is safe," the officer told Reid. Reid said he appreciated the bravery and dedication of t he officer and his colleagues. | [
{
"from": "human",
"value": "Text: Reid asked the officer how he was doing, and the officer said he'd be fine. \"The only thing I do every day is to make sure you and everyone who works up here is safe,\" the officer told Reid. Reid said he appreciated the bravery and dedication of t he officer and his colleagues."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes human entity in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes location in the text?"
},
{
"from": "gpt",
"value": "[\"here\"]"
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[\"Reid\", \"officer\"]"
},
{
"from": "human",
"value": "What describes group in the text?"
},
{
"from": "gpt",
"value": "[\"everyone\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Tipperary–Waterford hurling rivalry
The Tipperary–Waterford rivalry is a hurling rivalry between Irish county teams Tipperary and Waterford. Both teams play in the Munster Senior Hurling Championship and the All-Ireland Senior Hurling Championship. They have met in the All-Ireland Championship on three occasions with Waterford winning twice, the 2006 Quarter-Final, 2008 Semi-Final, while Tipperary were successful in the 2010 Semi-Final. All-Ireland Championship meetings
Munster Final meetings
References
External links
Tipperary v Waterford all-time results
Waterford
Category:Waterford county hurling team rivalries """<|im_end|>
<|im_start|>assistant
| Tipperary–Waterford hurling rivalry
The Tipperary–Waterford rivalry is a hurling rivalry between Irish county teams Tipperary and Waterford. Both teams play in the Munster Senior Hurling Championship and the All-Ireland Senior Hurling Championship. They have met in the All-Ireland Championship on three occasions with Waterford winning twice, the 2006 Quarter-Final, 2008 Semi-Final, while Tipperary were successful in the 2010 Semi-Final. All-Ireland Championship meetings
Munster Final meetings
References
External links
Tipperary v Waterford all-time results
Waterford
Category:Waterford county hurling team rivalries | [
{
"from": "human",
"value": "Text: Tipperary–Waterford hurling rivalry\n\nThe Tipperary–Waterford rivalry is a hurling rivalry between Irish county teams Tipperary and Waterford. Both teams play in the Munster Senior Hurling Championship and the All-Ireland Senior Hurling Championship. They have met in the All-Ireland Championship on three occasions with Waterford winning twice, the 2006 Quarter-Final, 2008 Semi-Final, while Tipperary were successful in the 2010 Semi-Final. All-Ireland Championship meetings\n\nMunster Final meetings\n\nReferences\n\nExternal links\nTipperary v Waterford all-time results\n\nWaterford\nCategory:Waterford county hurling team rivalries"
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes championship in the text?"
},
{
"from": "gpt",
"value": "[\"Munster Senior Hurling Championship\", \"All-Ireland Senior Hurling Championship\", \"All-Ireland Championship\"]"
},
{
"from": "human",
"value": "What describes match in the text?"
},
{
"from": "gpt",
"value": "[\"2006 Quarter-Final\", \"2008 Semi-Final\", \"2010 Semi-Final\"]"
},
{
"from": "human",
"value": "What describes Irish county team in the text?"
},
{
"from": "gpt",
"value": "[\"Tipperary\", \"Waterford\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" A group of activists “working to expose what the food industry doesn’t want us to know” is targeting university scientists who they suspect are paid shills for Big Food because their work buttresses industry claims that food made with GMOs (genetically modified organisms) is safe. The organization, Oakland, Calif.-based U.S. Right to Know, has been using open records laws to ferret out correspondence, especially emails, in which scientists at public universities who have done research or talked publicly about GMO safety were in touch with industry representatives. Right to Know scored with Kevin Folta, a plant scientist at the University of Florida, who had been on the speaking circuit defending the safety of GMOs. Folta had denied receiving industry money, but the activists determined, from the three years of emails he turned over to them, that he had gotten $25,000 from Monsanto, the agrichemical giant that is a leading GMO market force. For his part, Folta says he never pocketed the money, and used it to cover travel costs for speeches and lobbying trips that he regards as the legitimate public extension of his work as a scientist. """<|im_end|>
<|im_start|>assistant
| A group of activists “working to expose what the food industry doesn’t want us to know” is targeting university scientists who they suspect are paid shills for Big Food because their work buttresses industry claims that food made with GMOs (genetically modified organisms) is safe. The organization, Oakland, Calif.-based U.S. Right to Know, has been using open records laws to ferret out correspondence, especially emails, in which scientists at public universities who have done research or talked publicly about GMO safety were in touch with industry representatives. Right to Know scored with Kevin Folta, a plant scientist at the University of Florida, who had been on the speaking circuit defending the safety of GMOs. Folta had denied receiving industry money, but the activists determined, from the three years of emails he turned over to them, that he had gotten $25,000 from Monsanto, the agrichemical giant that is a leading GMO market force. For his part, Folta says he never pocketed the money, and used it to cover travel costs for speeches and lobbying trips that he regards as the legitimate public extension of his work as a scientist. | [
{
"from": "human",
"value": "Text: A group of activists “working to expose what the food industry doesn’t want us to know” is targeting university scientists who they suspect are paid shills for Big Food because their work buttresses industry claims that food made with GMOs (genetically modified organisms) is safe. The organization, Oakland, Calif.-based U.S. Right to Know, has been using open records laws to ferret out correspondence, especially emails, in which scientists at public universities who have done research or talked publicly about GMO safety were in touch with industry representatives. Right to Know scored with Kevin Folta, a plant scientist at the University of Florida, who had been on the speaking circuit defending the safety of GMOs. Folta had denied receiving industry money, but the activists determined, from the three years of emails he turned over to them, that he had gotten $25,000 from Monsanto, the agrichemical giant that is a leading GMO market force. For his part, Folta says he never pocketed the money, and used it to cover travel costs for speeches and lobbying trips that he regards as the legitimate public extension of his work as a scientist."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes professionals in the text?"
},
{
"from": "gpt",
"value": "[\"university scientists\", \"industry representatives\"]"
},
{
"from": "human",
"value": "What describes expense in the text?"
},
{
"from": "gpt",
"value": "[\"travel costs\"]"
},
{
"from": "human",
"value": "What describes class in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[\"Kevin Folta\"]"
},
{
"from": "human",
"value": "What describes company in the text?"
},
{
"from": "gpt",
"value": "[\"Big Food\", \"Monsanto\", \"agrichemical giant\"]"
},
{
"from": "human",
"value": "What describes activity in the text?"
},
{
"from": "gpt",
"value": "[\"research\", \"speeches\", \"lobbying trips\"]"
},
{
"from": "human",
"value": "What describes product in the text?"
},
{
"from": "gpt",
"value": "[\"GMOs\", \"GMO safety\", \"GMO market force\"]"
},
{
"from": "human",
"value": "What describes group in the text?"
},
{
"from": "gpt",
"value": "[\"activists\"]"
},
{
"from": "human",
"value": "What describes organization in the text?"
},
{
"from": "gpt",
"value": "[\"food industry\", \"U.S. Right to Know\", \"public universities\", \"University of Florida\"]"
},
{
"from": "human",
"value": "What describes policy in the text?"
},
{
"from": "gpt",
"value": "[\"open records laws\"]"
},
{
"from": "human",
"value": "What describes communication in the text?"
},
{
"from": "gpt",
"value": "[\"correspondence\", \"emails\"]"
},
{
"from": "human",
"value": "What describes location in the text?"
},
{
"from": "gpt",
"value": "[\"Oakland\"]"
},
{
"from": "human",
"value": "What describes profession in the text?"
},
{
"from": "gpt",
"value": "[\"plant scientist\", \"scientist\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" TRIPLE Brisbane great Jonathan Brown has called for North Melbourne to make a bold statement at the selection table and send Todd Goldstein to the VFL for a week. Goldstein was one of the game’s most valuable players only a couple of years, averaging 44 hit-outs and a whopping 128.8 Champion Data ranking points per game on his way to All-Australian honours. But the 28-year-old, who is contracted to the Kangaroos until the end of 2019, has been well down on his high standards in 2017 to date, dipping to an average of 98.2 ranking points — the first time he has averaged less than 100 since 2012. And with emerging ruckman Braydon Preuss in promising form at VFL level, Goldstein’s spot in the senior Kangaroos side is in jeopardy for the first time since cementing his spot in the best 22. Speaking on Fox Footy’s On The Couch, Brown encouraged the Kangaroos to drop the 201cm big man. “I’d drop him, shake him up,” Brown said. LISTEN TO THE LATEST FOX FOOTY PODCAST BELOW, OR TAP HERE TO SUBSCRIBE IN ITUNES
“I don’t think his form warrants his selection, unlike what he’s done in the past — he was an All-Australian ruckman a couple of years ago. """<|im_end|>
<|im_start|>assistant
| TRIPLE Brisbane great Jonathan Brown has called for North Melbourne to make a bold statement at the selection table and send Todd Goldstein to the VFL for a week. Goldstein was one of the game’s most valuable players only a couple of years, averaging 44 hit-outs and a whopping 128.8 Champion Data ranking points per game on his way to All-Australian honours. But the 28-year-old, who is contracted to the Kangaroos until the end of 2019, has been well down on his high standards in 2017 to date, dipping to an average of 98.2 ranking points — the first time he has averaged less than 100 since 2012. And with emerging ruckman Braydon Preuss in promising form at VFL level, Goldstein’s spot in the senior Kangaroos side is in jeopardy for the first time since cementing his spot in the best 22. Speaking on Fox Footy’s On The Couch, Brown encouraged the Kangaroos to drop the 201cm big man. “I’d drop him, shake him up,” Brown said. LISTEN TO THE LATEST FOX FOOTY PODCAST BELOW, OR TAP HERE TO SUBSCRIBE IN ITUNES
“I don’t think his form warrants his selection, unlike what he’s done in the past — he was an All-Australian ruckman a couple of years ago. | [
{
"from": "human",
"value": "Text: TRIPLE Brisbane great Jonathan Brown has called for North Melbourne to make a bold statement at the selection table and send Todd Goldstein to the VFL for a week. Goldstein was one of the game’s most valuable players only a couple of years, averaging 44 hit-outs and a whopping 128.8 Champion Data ranking points per game on his way to All-Australian honours. But the 28-year-old, who is contracted to the Kangaroos until the end of 2019, has been well down on his high standards in 2017 to date, dipping to an average of 98.2 ranking points — the first time he has averaged less than 100 since 2012. And with emerging ruckman Braydon Preuss in promising form at VFL level, Goldstein’s spot in the senior Kangaroos side is in jeopardy for the first time since cementing his spot in the best 22. Speaking on Fox Footy’s On The Couch, Brown encouraged the Kangaroos to drop the 201cm big man. “I’d drop him, shake him up,” Brown said. LISTEN TO THE LATEST FOX FOOTY PODCAST BELOW, OR TAP HERE TO SUBSCRIBE IN ITUNES\n\n“I don’t think his form warrants his selection, unlike what he’s done in the past — he was an All-Australian ruckman a couple of years ago."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[\"Jonathan Brown\", \"Todd Goldstein\", \"Braydon Preuss\"]"
},
{
"from": "human",
"value": "What describes measurement in the text?"
},
{
"from": "gpt",
"value": "[\"201cm\"]"
},
{
"from": "human",
"value": "What describes location in the text?"
},
{
"from": "gpt",
"value": "[\"Brisbane\"]"
},
{
"from": "human",
"value": "What describes organization in the text?"
},
{
"from": "gpt",
"value": "[\"North Melbourne\", \"VFL\", \"Champion Data\", \"Fox Footy\"]"
},
{
"from": "human",
"value": "What describes title in the text?"
},
{
"from": "gpt",
"value": "[\"All-Australian\", \"On The Couch\"]"
},
{
"from": "human",
"value": "What describes date in the text?"
},
{
"from": "gpt",
"value": "[\"2017\"]"
},
{
"from": "human",
"value": "What describes number in the text?"
},
{
"from": "gpt",
"value": "[\"22\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Padmé (film)
Padmé is a Star Wars fan film produced by Jason Ginsburg, Robert Reeves, and Kevin W. Walsh. The short was written by Walsh and directed by Reeves. The film won the George Lucas Selects Award in the 2008 Official Star Wars Fan Film Awards, co-sponsored by Atom.com and Lucasfilm, and aired on both Spike TV and Comedy Central shortly thereafter. Robert Reeves previously won Best Comedy in the 2005 Star Wars Fan Film Awards for Cheap Seats, which he wrote, directed, and starred in. Plot
The short is a virtual shot-for-shot remake of the teaser trailer for Juno, with the roles played by Star Wars characters. The film exploits the similarities between the characters of Padmé Amidala (from the prequel trilogy) and Juno MacGuff (from Juno), two young women who find themselves unexpectedly pregnant. Both characters choose to give their children up for adoption and struggle with complex relationships with the children's fathers – Anakin Skywalker filling the role of Paulie Bleeker. The mock trailer also showcases parodies of two songs featured in the Juno trailer:
"Anyone Else But You" by The Moldy Peaches is spoofed as "Part-Time Jedi/Full-Time Sith." Mott the Hoople's "All the Young Dudes" is transformed into "All Jedi Dudes." Cast
Padmé (Lisa Vendette) takes on the role of Juno MacGuff. """<|im_end|>
<|im_start|>assistant
| Padmé (film)
Padmé is a Star Wars fan film produced by Jason Ginsburg, Robert Reeves, and Kevin W. Walsh. The short was written by Walsh and directed by Reeves. The film won the George Lucas Selects Award in the 2008 Official Star Wars Fan Film Awards, co-sponsored by Atom.com and Lucasfilm, and aired on both Spike TV and Comedy Central shortly thereafter. Robert Reeves previously won Best Comedy in the 2005 Star Wars Fan Film Awards for Cheap Seats, which he wrote, directed, and starred in. Plot
The short is a virtual shot-for-shot remake of the teaser trailer for Juno, with the roles played by Star Wars characters. The film exploits the similarities between the characters of Padmé Amidala (from the prequel trilogy) and Juno MacGuff (from Juno), two young women who find themselves unexpectedly pregnant. Both characters choose to give their children up for adoption and struggle with complex relationships with the children's fathers – Anakin Skywalker filling the role of Paulie Bleeker. The mock trailer also showcases parodies of two songs featured in the Juno trailer:
"Anyone Else But You" by The Moldy Peaches is spoofed as "Part-Time Jedi/Full-Time Sith." Mott the Hoople's "All the Young Dudes" is transformed into "All Jedi Dudes." Cast
Padmé (Lisa Vendette) takes on the role of Juno MacGuff. | [
{
"from": "human",
"value": "Text: Padmé (film)\n\nPadmé is a Star Wars fan film produced by Jason Ginsburg, Robert Reeves, and Kevin W. Walsh. The short was written by Walsh and directed by Reeves. The film won the George Lucas Selects Award in the 2008 Official Star Wars Fan Film Awards, co-sponsored by Atom.com and Lucasfilm, and aired on both Spike TV and Comedy Central shortly thereafter. Robert Reeves previously won Best Comedy in the 2005 Star Wars Fan Film Awards for Cheap Seats, which he wrote, directed, and starred in. Plot \nThe short is a virtual shot-for-shot remake of the teaser trailer for Juno, with the roles played by Star Wars characters. The film exploits the similarities between the characters of Padmé Amidala (from the prequel trilogy) and Juno MacGuff (from Juno), two young women who find themselves unexpectedly pregnant. Both characters choose to give their children up for adoption and struggle with complex relationships with the children's fathers – Anakin Skywalker filling the role of Paulie Bleeker. The mock trailer also showcases parodies of two songs featured in the Juno trailer:\n\n\"Anyone Else But You\" by The Moldy Peaches is spoofed as \"Part-Time Jedi/Full-Time Sith.\" Mott the Hoople's \"All the Young Dudes\" is transformed into \"All Jedi Dudes.\" Cast \nPadmé (Lisa Vendette) takes on the role of Juno MacGuff."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes film in the text?"
},
{
"from": "gpt",
"value": "[\"Padm\\u00e9\", \"Star Wars\", \"Cheap Seats\", \"prequel trilogy\", \"Juno\"]"
},
{
"from": "human",
"value": "What describes Organism in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[\"Jason Ginsburg\", \"Robert Reeves\", \"Kevin W. Walsh\", \"Lisa Vendette\"]"
},
{
"from": "human",
"value": "What describes event in the text?"
},
{
"from": "gpt",
"value": "[\"2008 Official Star Wars Fan Film Awards\"]"
},
{
"from": "human",
"value": "What describes character in the text?"
},
{
"from": "gpt",
"value": "[\"Padm\\u00e9 Amidala\", \"Anakin Skywalker\", \"Paulie Bleeker\"]"
},
{
"from": "human",
"value": "What describes award in the text?"
},
{
"from": "gpt",
"value": "[\"George Lucas Selects Award\", \"Best Comedy\"]"
},
{
"from": "human",
"value": "What describes song in the text?"
},
{
"from": "gpt",
"value": "[\"Anyone Else But You\", \"Part-Time Jedi/Full-Time Sith\", \"All the Young Dudes\"]"
},
{
"from": "human",
"value": "What describes band in the text?"
},
{
"from": "gpt",
"value": "[\"The Moldy Peaches\", \"Mott the Hoople\"]"
},
{
"from": "human",
"value": "What describes animal in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Pattern in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes company in the text?"
},
{
"from": "gpt",
"value": "[\"Atom.com\", \"Lucasfilm\", \"Spike TV\", \"Comedy Central\"]"
},
{
"from": "human",
"value": "What describes procedure in the text?"
},
{
"from": "gpt",
"value": "[]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Oklahoma lawmakers send constitutional carry bill to governor
Oklahoma Gov. Mary Fallin now has to decide how she will handle a constitutional carry bill (Photo: Joe Wertz /StateImpact Oklahoma via OK Public Broadcasting)
The legislature on Thursday approved a plan to allow the Second Amendment to be the default concealed carry authorization. The measure, SB 1212, codifies that a concealed carry permit is not required for a law-abiding Oklahoma resident to carry a concealed handgun. The bill, popular with Republicans, swept the state House 59-28 last month before rolling through the Senate this week 33-9 on its way to Gov. Mary Fallin’s desk. “I believe every Oklahoman has the right to self-defense without the burden of government approval. Constitutional Carry secures this right,” said state Sen. Nathan Dahm, R-Broken Arrow, sponsor of the bill. The measure will allow those age 21 and older who are legally able to possess a firearm to carry one in public without a permit. An allowance for those over 18 who are in the military is incorporated into the language of the bill. Those carrying a firearm would have a duty to inform police that they are armed if stopped. It does not eliminate the state’s current concealed carry permitting scheme which, if Fallin signs the bill into law, would still be available. """<|im_end|>
<|im_start|>assistant
| Oklahoma lawmakers send constitutional carry bill to governor
Oklahoma Gov. Mary Fallin now has to decide how she will handle a constitutional carry bill (Photo: Joe Wertz /StateImpact Oklahoma via OK Public Broadcasting)
The legislature on Thursday approved a plan to allow the Second Amendment to be the default concealed carry authorization. The measure, SB 1212, codifies that a concealed carry permit is not required for a law-abiding Oklahoma resident to carry a concealed handgun. The bill, popular with Republicans, swept the state House 59-28 last month before rolling through the Senate this week 33-9 on its way to Gov. Mary Fallin’s desk. “I believe every Oklahoman has the right to self-defense without the burden of government approval. Constitutional Carry secures this right,” said state Sen. Nathan Dahm, R-Broken Arrow, sponsor of the bill. The measure will allow those age 21 and older who are legally able to possess a firearm to carry one in public without a permit. An allowance for those over 18 who are in the military is incorporated into the language of the bill. Those carrying a firearm would have a duty to inform police that they are armed if stopped. It does not eliminate the state’s current concealed carry permitting scheme which, if Fallin signs the bill into law, would still be available. | [
{
"from": "human",
"value": "Text: Oklahoma lawmakers send constitutional carry bill to governor\n\nOklahoma Gov. Mary Fallin now has to decide how she will handle a constitutional carry bill (Photo: Joe Wertz /StateImpact Oklahoma via OK Public Broadcasting)\n\nThe legislature on Thursday approved a plan to allow the Second Amendment to be the default concealed carry authorization. The measure, SB 1212, codifies that a concealed carry permit is not required for a law-abiding Oklahoma resident to carry a concealed handgun. The bill, popular with Republicans, swept the state House 59-28 last month before rolling through the Senate this week 33-9 on its way to Gov. Mary Fallin’s desk. “I believe every Oklahoman has the right to self-defense without the burden of government approval. Constitutional Carry secures this right,” said state Sen. Nathan Dahm, R-Broken Arrow, sponsor of the bill. The measure will allow those age 21 and older who are legally able to possess a firearm to carry one in public without a permit. An allowance for those over 18 who are in the military is incorporated into the language of the bill. Those carrying a firearm would have a duty to inform police that they are armed if stopped. It does not eliminate the state’s current concealed carry permitting scheme which, if Fallin signs the bill into law, would still be available."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes Government Agency in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes object in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Person in the text?"
},
{
"from": "gpt",
"value": "[\"Mary Fallin\", \"Nathan Dahm\"]"
},
{
"from": "human",
"value": "What describes measurement in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Law in the text?"
},
{
"from": "gpt",
"value": "[\"Second Amendment\", \"SB 1212\"]"
},
{
"from": "human",
"value": "What describes Organization in the text?"
},
{
"from": "gpt",
"value": "[\"military\"]"
},
{
"from": "human",
"value": "What describes enzyme in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Political Party in the text?"
},
{
"from": "gpt",
"value": "[\"Republicans\"]"
},
{
"from": "human",
"value": "What describes Programming Technique in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Location in the text?"
},
{
"from": "gpt",
"value": "[\"Oklahoma\", \"Broken Arrow\"]"
},
{
"from": "human",
"value": "What describes Government Body in the text?"
},
{
"from": "gpt",
"value": "[\"House\", \"Senate\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Over the course of the 2014 NFL season, we here at WFNY have been doing our best to provide in-depth looks at how Browns fans outside of Cleveland enjoy their game days after having been forced to relocate for one reason or another. We’ve taken you to Afghanistan, where a deployed soldier shared his “Football Night” experience. We’ve taken you to the west coast where a San Diego resident pulled back the curtain on his hometown as well as Hollywood. This time, we present you New York, New York. But rather than going the text route, we’re proud to have our very own WFNY-branded documentary that takes you into the homes of fans as well as their game day spot at Brother Jimmy’s BBQ where the New York Browns Backers convene to watch the Orange and Brown take the field. It’s not 30-for-30 length, but we do hope you enjoy. Special high fives to long-time reader Alex Lubetkin for putting this all together. Go Browns. """<|im_end|>
<|im_start|>assistant
| Over the course of the 2014 NFL season, we here at WFNY have been doing our best to provide in-depth looks at how Browns fans outside of Cleveland enjoy their game days after having been forced to relocate for one reason or another. We’ve taken you to Afghanistan, where a deployed soldier shared his “Football Night” experience. We’ve taken you to the west coast where a San Diego resident pulled back the curtain on his hometown as well as Hollywood. This time, we present you New York, New York. But rather than going the text route, we’re proud to have our very own WFNY-branded documentary that takes you into the homes of fans as well as their game day spot at Brother Jimmy’s BBQ where the New York Browns Backers convene to watch the Orange and Brown take the field. It’s not 30-for-30 length, but we do hope you enjoy. Special high fives to long-time reader Alex Lubetkin for putting this all together. Go Browns. | [
{
"from": "human",
"value": "Text: Over the course of the 2014 NFL season, we here at WFNY have been doing our best to provide in-depth looks at how Browns fans outside of Cleveland enjoy their game days after having been forced to relocate for one reason or another. We’ve taken you to Afghanistan, where a deployed soldier shared his “Football Night” experience. We’ve taken you to the west coast where a San Diego resident pulled back the curtain on his hometown as well as Hollywood. This time, we present you New York, New York. But rather than going the text route, we’re proud to have our very own WFNY-branded documentary that takes you into the homes of fans as well as their game day spot at Brother Jimmy’s BBQ where the New York Browns Backers convene to watch the Orange and Brown take the field. It’s not 30-for-30 length, but we do hope you enjoy. Special high fives to long-time reader Alex Lubetkin for putting this all together. Go Browns."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes restaurant in the text?"
},
{
"from": "gpt",
"value": "[\"Brother Jimmy\\u2019s BBQ\"]"
},
{
"from": "human",
"value": "What describes media in the text?"
},
{
"from": "gpt",
"value": "[\"WFNY-branded documentary\", \"30-for-30\"]"
},
{
"from": "human",
"value": "What describes country in the text?"
},
{
"from": "gpt",
"value": "[\"Afghanistan\"]"
},
{
"from": "human",
"value": "What describes sports team in the text?"
},
{
"from": "gpt",
"value": "[\"Browns\", \"Orange and Brown\", \"Go Browns\"]"
},
{
"from": "human",
"value": "What describes chemical in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes software in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Project in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes date in the text?"
},
{
"from": "gpt",
"value": "[\"2014 NFL season\"]"
},
{
"from": "human",
"value": "What describes JobTitle in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes event in the text?"
},
{
"from": "gpt",
"value": "[\"Football Night\"]"
},
{
"from": "human",
"value": "What describes city in the text?"
},
{
"from": "gpt",
"value": "[\"Cleveland\", \"San Diego\", \"Hollywood\", \"New York\"]"
},
{
"from": "human",
"value": "What describes method in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes package in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes region in the text?"
},
{
"from": "gpt",
"value": "[\"west coast\"]"
},
{
"from": "human",
"value": "What describes Medical Treatment in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[\"Alex Lubetkin\"]"
},
{
"from": "human",
"value": "What describes organization in the text?"
},
{
"from": "gpt",
"value": "[\"WFNY\", \"New York Browns Backers\"]"
},
{
"from": "human",
"value": "What describes Time in the text?"
},
{
"from": "gpt",
"value": "[]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" On Saturday, Golden State Warriors coach Steve Kerr mocked the National Rifle Association following the group’s revelation that it is in serious financial trouble. “Don’t send money……thoughts and prayers should suffice,” tweeted Kerr, a vocal critic of both the pro-gun lobbying group. In the wake of a string of gun-related tragedies earlier this year, lawmakers drew backlash for offering “thoughts and prayers” to victims instead of acting to pass gun control legislation. The NRA’s recent financial difficulties came to light in a recent lawsuit filed against New York Gov. Andrew Cuomo (D), the state’s Department of Financial Services (DFS) and Maria Vullo, New York’s superintendent of financial services. The lawsuit follows a New York financial regulatory decision that pressured financial institutions to cut ties with the NRA. The gun group claims in the lawsuit that the state engaged in a “political and discriminatory campaign” against the NRA that resulted in the loss of businesses relationships “necessary to the survival of the NRA as a charitable organization.”
Read Steve Kerr’s response below:
Don’t send money……thoughts and prayers should suffice. https://t.co/uYIWvgK8CD — Steve Kerr (@SteveKerr) August 4, 2018
RELATED: The NRA May Have To Shut Down Its Television Network After Losing Deals With Multiple Businesses. ShareTweet """<|im_end|>
<|im_start|>assistant
| On Saturday, Golden State Warriors coach Steve Kerr mocked the National Rifle Association following the group’s revelation that it is in serious financial trouble. “Don’t send money……thoughts and prayers should suffice,” tweeted Kerr, a vocal critic of both the pro-gun lobbying group. In the wake of a string of gun-related tragedies earlier this year, lawmakers drew backlash for offering “thoughts and prayers” to victims instead of acting to pass gun control legislation. The NRA’s recent financial difficulties came to light in a recent lawsuit filed against New York Gov. Andrew Cuomo (D), the state’s Department of Financial Services (DFS) and Maria Vullo, New York’s superintendent of financial services. The lawsuit follows a New York financial regulatory decision that pressured financial institutions to cut ties with the NRA. The gun group claims in the lawsuit that the state engaged in a “political and discriminatory campaign” against the NRA that resulted in the loss of businesses relationships “necessary to the survival of the NRA as a charitable organization.”
Read Steve Kerr’s response below:
Don’t send money……thoughts and prayers should suffice. https://t.co/uYIWvgK8CD — Steve Kerr (@SteveKerr) August 4, 2018
RELATED: The NRA May Have To Shut Down Its Television Network After Losing Deals With Multiple Businesses. ShareTweet | [
{
"from": "human",
"value": "Text: On Saturday, Golden State Warriors coach Steve Kerr mocked the National Rifle Association following the group’s revelation that it is in serious financial trouble. “Don’t send money……thoughts and prayers should suffice,” tweeted Kerr, a vocal critic of both the pro-gun lobbying group. In the wake of a string of gun-related tragedies earlier this year, lawmakers drew backlash for offering “thoughts and prayers” to victims instead of acting to pass gun control legislation. The NRA’s recent financial difficulties came to light in a recent lawsuit filed against New York Gov. Andrew Cuomo (D), the state’s Department of Financial Services (DFS) and Maria Vullo, New York’s superintendent of financial services. The lawsuit follows a New York financial regulatory decision that pressured financial institutions to cut ties with the NRA. The gun group claims in the lawsuit that the state engaged in a “political and discriminatory campaign” against the NRA that resulted in the loss of businesses relationships “necessary to the survival of the NRA as a charitable organization.”\n\nRead Steve Kerr’s response below:\n\nDon’t send money……thoughts and prayers should suffice. https://t.co/uYIWvgK8CD — Steve Kerr (@SteveKerr) August 4, 2018\n\nRELATED: The NRA May Have To Shut Down Its Television Network After Losing Deals With Multiple Businesses. ShareTweet"
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes Person in the text?"
},
{
"from": "gpt",
"value": "[\"Steve Kerr\", \"lawmakers\", \"New York Gov. Andrew Cuomo\", \"Maria Vullo\"]"
},
{
"from": "human",
"value": "What describes Location in the text?"
},
{
"from": "gpt",
"value": "[\"New York\"]"
},
{
"from": "human",
"value": "What describes Award in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Sports Team in the text?"
},
{
"from": "gpt",
"value": "[\"Golden State Warriors\"]"
},
{
"from": "human",
"value": "What describes Organization in the text?"
},
{
"from": "gpt",
"value": "[\"National Rifle Association\", \"pro-gun lobbying group\", \"Department of Financial Services\", \"NRA\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Lok Sabha Election 2019: Chandrababu Naidu met with Mamata Banerjee on Monday. (File Photo)
Andhra Pradesh Chief Minister Chandrababu Naidu had been on a "Stop BJP" mission even before the polls got over. But his only meeting on Monday-- the morning after exit polls predicted a comfortable victory or the BJP -- with Mamata Banerjee, holds a hint of concern. "We will discuss politics," Mr Naidu had said ahead of his visit to Kolkata. Then he added, "We even requested her to come to Delhi for meeting the Election Commission". While there was no word from him after the meeting, Bengal's ruling Trinamool Congress said the opposition parties are meeting the Election Commission tomorrow to express their concerns about Electronic voting machines. Yesterday, after the national elections concluded, exit polls predicted a comeback for the BJP - the range was wide, from a secure majority to a landslide win. An aggregate of exit polls also indicated that Jaganmohan Reddy, Mr Naidu's arch-rival in Andhra Pradesh, will win 15 of the state's 25 seats while he got only 10. Both Mr Naidu and Mamata Banerjee have rubbished the exit polls' claim. Ms Banerjee called it "gossip", but in a tweet, also said "The game plan is to manipulate or replace thousands of EVMs through this gossip". """<|im_end|>
<|im_start|>assistant
| Lok Sabha Election 2019: Chandrababu Naidu met with Mamata Banerjee on Monday. (File Photo)
Andhra Pradesh Chief Minister Chandrababu Naidu had been on a "Stop BJP" mission even before the polls got over. But his only meeting on Monday-- the morning after exit polls predicted a comfortable victory or the BJP -- with Mamata Banerjee, holds a hint of concern. "We will discuss politics," Mr Naidu had said ahead of his visit to Kolkata. Then he added, "We even requested her to come to Delhi for meeting the Election Commission". While there was no word from him after the meeting, Bengal's ruling Trinamool Congress said the opposition parties are meeting the Election Commission tomorrow to express their concerns about Electronic voting machines. Yesterday, after the national elections concluded, exit polls predicted a comeback for the BJP - the range was wide, from a secure majority to a landslide win. An aggregate of exit polls also indicated that Jaganmohan Reddy, Mr Naidu's arch-rival in Andhra Pradesh, will win 15 of the state's 25 seats while he got only 10. Both Mr Naidu and Mamata Banerjee have rubbished the exit polls' claim. Ms Banerjee called it "gossip", but in a tweet, also said "The game plan is to manipulate or replace thousands of EVMs through this gossip". | [
{
"from": "human",
"value": "Text: Lok Sabha Election 2019: Chandrababu Naidu met with Mamata Banerjee on Monday. (File Photo)\n\nAndhra Pradesh Chief Minister Chandrababu Naidu had been on a \"Stop BJP\" mission even before the polls got over. But his only meeting on Monday-- the morning after exit polls predicted a comfortable victory or the BJP -- with Mamata Banerjee, holds a hint of concern. \"We will discuss politics,\" Mr Naidu had said ahead of his visit to Kolkata. Then he added, \"We even requested her to come to Delhi for meeting the Election Commission\". While there was no word from him after the meeting, Bengal's ruling Trinamool Congress said the opposition parties are meeting the Election Commission tomorrow to express their concerns about Electronic voting machines. Yesterday, after the national elections concluded, exit polls predicted a comeback for the BJP - the range was wide, from a secure majority to a landslide win. An aggregate of exit polls also indicated that Jaganmohan Reddy, Mr Naidu's arch-rival in Andhra Pradesh, will win 15 of the state's 25 seats while he got only 10. Both Mr Naidu and Mamata Banerjee have rubbished the exit polls' claim. Ms Banerjee called it \"gossip\", but in a tweet, also said \"The game plan is to manipulate or replace thousands of EVMs through this gossip\"."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes Location in the text?"
},
{
"from": "gpt",
"value": "[\"Andhra Pradesh\"]"
},
{
"from": "human",
"value": "What describes Event in the text?"
},
{
"from": "gpt",
"value": "[\"Lok Sabha Election 2019\"]"
},
{
"from": "human",
"value": "What describes Date in the text?"
},
{
"from": "gpt",
"value": "[\"Monday\"]"
},
{
"from": "human",
"value": "What describes concept in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Technology in the text?"
},
{
"from": "gpt",
"value": "[\"Electronic voting machines\"]"
},
{
"from": "human",
"value": "What describes Person in the text?"
},
{
"from": "gpt",
"value": "[\"Chandrababu Naidu\", \"Mamata Banerjee\", \"Jaganmohan Reddy\", \"Ms Banerjee\"]"
},
{
"from": "human",
"value": "What describes parameter in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Name in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes year in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Organization in the text?"
},
{
"from": "gpt",
"value": "[\"BJP\", \"Trinamool Congress\"]"
},
{
"from": "human",
"value": "What describes Communication in the text?"
},
{
"from": "gpt",
"value": "[\"tweet\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" To print on:
Farming in the Shade
Joe Kennedy stands on his porch, surrounded by a food forest that has provided crops for seven years. Along Hua`ai Road in Ho`olehua, there’s a wooded area grown over with weeds and bushes. This area is disguised as a simple, unkempt forest, but within it lays a flourishing garden of fruits and vegetables, all growing in the shade. Molokai resident Joe Kennedy is the man behind the food forest. He began planting crops there last March, and a year later he has healthy, productive plants that use each other for support and protection. Avocado, taro and spinach are just a few of Kennedy’s crops. He founded the forest based on the idea of permaculture, a conservation theory that reflects his own love for the earth and a desire to preserve the land for future generations. “I intentionally did not use one drop of synthetic fertilizer of any kind,” Kennedy said about his garden in the shade. He said he created the food forest by examining the principles of nature – how different systems work together to produce and multiply. What looks like an overgrown thicket is actually a spot in Kennedy’s food forest where a year-old avocado tree grows healthy. """<|im_end|>
<|im_start|>assistant
| To print on:
Farming in the Shade
Joe Kennedy stands on his porch, surrounded by a food forest that has provided crops for seven years. Along Hua`ai Road in Ho`olehua, there’s a wooded area grown over with weeds and bushes. This area is disguised as a simple, unkempt forest, but within it lays a flourishing garden of fruits and vegetables, all growing in the shade. Molokai resident Joe Kennedy is the man behind the food forest. He began planting crops there last March, and a year later he has healthy, productive plants that use each other for support and protection. Avocado, taro and spinach are just a few of Kennedy’s crops. He founded the forest based on the idea of permaculture, a conservation theory that reflects his own love for the earth and a desire to preserve the land for future generations. “I intentionally did not use one drop of synthetic fertilizer of any kind,” Kennedy said about his garden in the shade. He said he created the food forest by examining the principles of nature – how different systems work together to produce and multiply. What looks like an overgrown thicket is actually a spot in Kennedy’s food forest where a year-old avocado tree grows healthy. | [
{
"from": "human",
"value": "Text: To print on:\n\nFarming in the Shade\n\nJoe Kennedy stands on his porch, surrounded by a food forest that has provided crops for seven years. Along Hua`ai Road in Ho`olehua, there’s a wooded area grown over with weeds and bushes. This area is disguised as a simple, unkempt forest, but within it lays a flourishing garden of fruits and vegetables, all growing in the shade. Molokai resident Joe Kennedy is the man behind the food forest. He began planting crops there last March, and a year later he has healthy, productive plants that use each other for support and protection. Avocado, taro and spinach are just a few of Kennedy’s crops. He founded the forest based on the idea of permaculture, a conservation theory that reflects his own love for the earth and a desire to preserve the land for future generations. “I intentionally did not use one drop of synthetic fertilizer of any kind,” Kennedy said about his garden in the shade. He said he created the food forest by examining the principles of nature – how different systems work together to produce and multiply. What looks like an overgrown thicket is actually a spot in Kennedy’s food forest where a year-old avocado tree grows healthy."
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes Number in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes food in the text?"
},
{
"from": "gpt",
"value": "[\"avocado\", \"taro\", \"spinach\"]"
},
{
"from": "human",
"value": "What describes product in the text?"
},
{
"from": "gpt",
"value": "[\"synthetic fertilizer\"]"
},
{
"from": "human",
"value": "What describes person in the text?"
},
{
"from": "gpt",
"value": "[\"Joe Kennedy\"]"
},
{
"from": "human",
"value": "What describes Date in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes plant in the text?"
},
{
"from": "gpt",
"value": "[\"avocado tree\"]"
},
{
"from": "human",
"value": "What describes concept in the text?"
},
{
"from": "gpt",
"value": "[\"permaculture\", \"nature\", \"food forest\"]"
},
{
"from": "human",
"value": "What describes program in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes location in the text?"
},
{
"from": "gpt",
"value": "[\"Hua`ai Road\", \"Ho`olehua\", \"Molokai\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" Landscapes Unlimited creates 3D panoramic prim landscapes in Second Life such as the virtual Alps and Grand Canyon. One type of landscape immerses skyboxes into an overwhelming environment. Another type makes island sims part of a spectacular mountain range, a desert or a tropical archipelago. More info at http://landscapesunlimited.blogspot.com. Two Moon Gardens offers some of the most exquisite and realistic gardens on the grid. Rez your own piece of paradise, including ground-rezzing, globe and panoramic gardens. Here you'll find everything you need for landscaping, including plants, flowers and trees. Looking for flowers? Usako offers realistic textured flowers in various forms. This is the place for roses, tulips, sunflowers, wedding bouquets, foliage plants and more. More info: http://flowershopusako.slmame.com. More than a store, an adventure! A botanical garden where you can purchase things you see with a right click while enjoying interactive fun and romance in the formal gardens, get your fortune told, take an inspiring walk along Walden Pond, pick and stomp grapes in the vineyards, or visit the herbalist's hut for some medicinal tea. Shops and gardens designed to provide the lushest gardens on the fewest prims. What will you discover as you follow the meandering path through MiChiGaNs ShAcK? """<|im_end|>
<|im_start|>assistant
| Landscapes Unlimited creates 3D panoramic prim landscapes in Second Life such as the virtual Alps and Grand Canyon. One type of landscape immerses skyboxes into an overwhelming environment. Another type makes island sims part of a spectacular mountain range, a desert or a tropical archipelago. More info at http://landscapesunlimited.blogspot.com. Two Moon Gardens offers some of the most exquisite and realistic gardens on the grid. Rez your own piece of paradise, including ground-rezzing, globe and panoramic gardens. Here you'll find everything you need for landscaping, including plants, flowers and trees. Looking for flowers? Usako offers realistic textured flowers in various forms. This is the place for roses, tulips, sunflowers, wedding bouquets, foliage plants and more. More info: http://flowershopusako.slmame.com. More than a store, an adventure! A botanical garden where you can purchase things you see with a right click while enjoying interactive fun and romance in the formal gardens, get your fortune told, take an inspiring walk along Walden Pond, pick and stomp grapes in the vineyards, or visit the herbalist's hut for some medicinal tea. Shops and gardens designed to provide the lushest gardens on the fewest prims. What will you discover as you follow the meandering path through MiChiGaNs ShAcK? | [
{
"from": "human",
"value": "Text: Landscapes Unlimited creates 3D panoramic prim landscapes in Second Life such as the virtual Alps and Grand Canyon. One type of landscape immerses skyboxes into an overwhelming environment. Another type makes island sims part of a spectacular mountain range, a desert or a tropical archipelago. More info at http://landscapesunlimited.blogspot.com. Two Moon Gardens offers some of the most exquisite and realistic gardens on the grid. Rez your own piece of paradise, including ground-rezzing, globe and panoramic gardens. Here you'll find everything you need for landscaping, including plants, flowers and trees. Looking for flowers? Usako offers realistic textured flowers in various forms. This is the place for roses, tulips, sunflowers, wedding bouquets, foliage plants and more. More info: http://flowershopusako.slmame.com. More than a store, an adventure! A botanical garden where you can purchase things you see with a right click while enjoying interactive fun and romance in the formal gardens, get your fortune told, take an inspiring walk along Walden Pond, pick and stomp grapes in the vineyards, or visit the herbalist's hut for some medicinal tea. Shops and gardens designed to provide the lushest gardens on the fewest prims. What will you discover as you follow the meandering path through MiChiGaNs ShAcK?"
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes method in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes organization in the text?"
},
{
"from": "gpt",
"value": "[\"Landscapes Unlimited\", \"Two Moon Gardens\", \"Usako\"]"
},
{
"from": "human",
"value": "What describes Academic Journal in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes location in the text?"
},
{
"from": "gpt",
"value": "[\"Second Life\", \"Alps\", \"Grand Canyon\", \"Walden Pond\", \"MiChiGaNs ShAcK\"]"
}
]
| Yes |
<|im_start|>user
YOU ARE A HIGHLY ACCURATE TEXT CLASSIFICATION AGENT. YOUR TASK IS TO READ A GIVEN TEXT AND DECIDE WHETHER IT IS **CLEAN GENERAL ENGLISH** CONTENT OR NOT.
---
**Label the text as `Yes` if ALL of the following are true:**
- It consists of regular English sentences, paragraphs, or dialogue.
- It contains descriptive or narrative content, articles, essays, or conversational prose.
- It does **not** contain any of the following:
- Source code or programming syntax (e.g., `for`, `function()`, `{}`, `</html>`).
- Scientific or mathematical formulas, symbols, or equations (e.g., \(x = y^2\), ∑, ∫, →).
- Numeric data, tables, logs, or structured values like CSV lines or statistics.
- Content written predominantly in a non-English language.
**Label the text as `No` if ANY of the following are true:**
- It includes programming code, syntax, or technical APIs.
- It includes math formulas, scientific notation, or theory-heavy mathematical descriptions.
- It primarily consists of numeric content, tables, raw statistics, or log output.
- It is mostly written in a language other than English.
---
### OUTPUT FORMAT
Output either `Yes` or `No` with no additional text.
### Text to classify
""" IDAHO (PT)
Antiques Roadshow"Cats & Dogs"
From a ceramic dog to a painted cat, this special is filled with appraisals featuring felines and canines, including an original "Hush Puppy" mascot, dog portraits and one "naughty cat" bronze.G
8:00 pm
Market Warriors"Antiquing In New York, NY"
In the heart of the city at the Antiques Garage, the pickers form two teams to find the right piece of ephemera from the 100 dealers packed into cramped quarters.G
9:00 pm
Globe Trekker"Eastern Canada"
Our 3,000km journey starts on the Avalon Peninsula, in Newfoundland & Labrador, the oldest and most easterly part of North America. Though it was the first province discovered by Europeans, it was the last to join Canada in 1949 - a testimony to its independent spirit.G
10:00 pm
Independent Lens"Park Avenue: Money, Power & the American Dream"
New York City's Park Avenue goes from one economic extreme to the other. At 740 Park Avenue in Manhattan, there is the highest concentration of billionaires in the United States. Less than 4 miles away, Park Avenue runs through New York's 11th Congressional District in the South Bronx, which has the highest poverty rate in the country.G """<|im_end|>
<|im_start|>assistant
| IDAHO (PT)
Antiques Roadshow"Cats & Dogs"
From a ceramic dog to a painted cat, this special is filled with appraisals featuring felines and canines, including an original "Hush Puppy" mascot, dog portraits and one "naughty cat" bronze.G
8:00 pm
Market Warriors"Antiquing In New York, NY"
In the heart of the city at the Antiques Garage, the pickers form two teams to find the right piece of ephemera from the 100 dealers packed into cramped quarters.G
9:00 pm
Globe Trekker"Eastern Canada"
Our 3,000km journey starts on the Avalon Peninsula, in Newfoundland & Labrador, the oldest and most easterly part of North America. Though it was the first province discovered by Europeans, it was the last to join Canada in 1949 - a testimony to its independent spirit.G
10:00 pm
Independent Lens"Park Avenue: Money, Power & the American Dream"
New York City's Park Avenue goes from one economic extreme to the other. At 740 Park Avenue in Manhattan, there is the highest concentration of billionaires in the United States. Less than 4 miles away, Park Avenue runs through New York's 11th Congressional District in the South Bronx, which has the highest poverty rate in the country.G | [
{
"from": "human",
"value": "Text: IDAHO (PT)\n\nAntiques Roadshow\"Cats & Dogs\"\nFrom a ceramic dog to a painted cat, this special is filled with appraisals featuring felines and canines, including an original \"Hush Puppy\" mascot, dog portraits and one \"naughty cat\" bronze.G\n\n8:00 pm\n\nMarket Warriors\"Antiquing In New York, NY\"\nIn the heart of the city at the Antiques Garage, the pickers form two teams to find the right piece of ephemera from the 100 dealers packed into cramped quarters.G\n\n9:00 pm\n\nGlobe Trekker\"Eastern Canada\"\nOur 3,000km journey starts on the Avalon Peninsula, in Newfoundland & Labrador, the oldest and most easterly part of North America. Though it was the first province discovered by Europeans, it was the last to join Canada in 1949 - a testimony to its independent spirit.G\n\n10:00 pm\n\nIndependent Lens\"Park Avenue: Money, Power & the American Dream\"\nNew York City's Park Avenue goes from one economic extreme to the other. At 740 Park Avenue in Manhattan, there is the highest concentration of billionaires in the United States. Less than 4 miles away, Park Avenue runs through New York's 11th Congressional District in the South Bronx, which has the highest poverty rate in the country.G"
},
{
"from": "gpt",
"value": "I've read this text."
},
{
"from": "human",
"value": "What describes Group in the text?"
},
{
"from": "gpt",
"value": "[\"Europeans\", \"Congressional District\"]"
},
{
"from": "human",
"value": "What describes Location in the text?"
},
{
"from": "gpt",
"value": "[\"IDAHO\", \"New York, NY\", \"Antiques Garage\", \"Avalon Peninsula\", \"Newfoundland & Labrador\", \"North America\", \"Canada\", \"Park Avenue\", \"New York City\", \"Manhattan\", \"United States\", \"South Bronx\", \"the country\"]"
},
{
"from": "human",
"value": "What describes TV Show in the text?"
},
{
"from": "gpt",
"value": "[\"Antiques Roadshow\", \"Globe Trekker\", \"Independent Lens\"]"
},
{
"from": "human",
"value": "What describes organization in the text?"
},
{
"from": "gpt",
"value": "[]"
},
{
"from": "human",
"value": "What describes Product in the text?"
},
{
"from": "gpt",
"value": "[\"Hush Puppy\"]"
}
]
| Yes |
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